Author Information

Benjamin Eysenbach (Carnegie Mellon University)

I'm a 5th year PhD student at CMU, focusing on RL algorithms. I am currently on the faculty job market.

Sergey Levine (UC Berkeley)

More from the Same Authors

• 2021 Spotlight: Robust Predictable Control »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 Spotlight: Offline Reinforcement Learning as One Big Sequence Modeling Problem »
  Michael Janner · Qiyang Li · Sergey Levine
• 2021 Spotlight: Pragmatic Image Compression for Human-in-the-Loop Decision-Making »
  Sid Reddy · Anca Dragan · Sergey Levine
• 2021 : Bridge Data: Boosting Generalization of Robotic Skills with Cross-Domain Datasets »
  Frederik Ebert · Yanlai Yang · Karl Schmeckpeper · Bernadette Bucher · Kostas Daniilidis · Chelsea Finn · Sergey Levine
• 2021 : Hybrid Imitative Planning with Geometric and Predictive Costs in Offroad Environments »
  Dhruv Shah · Daniel Shin · Nick Rhinehart · Ali Agha · David D Fan · Sergey Levine
• 2021 : Extending the WILDS Benchmark for Unsupervised Adaptation »
  Shiori Sagawa · Pang Wei Koh · Tony Lee · Irena Gao · Sang Michael Xie · Kendrick Shen · Ananya Kumar · Weihua Hu · Michihiro Yasunaga · Henrik Marklund · Sara Beery · Ian Stavness · Jure Leskovec · Kate Saenko · Tatsunori Hashimoto · Sergey Levine · Chelsea Finn · Percy Liang
• 2021 : Test Time Robustification of Deep Models via Adaptation and Augmentation »
  Marvin Zhang · Sergey Levine · Chelsea Finn
• 2021 : Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon Reasoning »
  Dhruv Shah · Ted Xiao · Alexander Toshev · Sergey Levine · brian ichter
• 2021 : Data Sharing without Rewards in Multi-Task Offline Reinforcement Learning »
  Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Chelsea Finn · Sergey Levine · Karol Hausman
• 2021 : Should I Run Offline Reinforcement Learning or Behavioral Cloning? »
  Aviral Kumar · Joey Hong · Anikait Singh · Sergey Levine
• 2021 : DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
  Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
• 2021 : Offline Reinforcement Learning with In-sample Q-Learning »
  Ilya Kostrikov · Ashvin Nair · Sergey Levine
• 2021 : C-Planning: An Automatic Curriculum for Learning Goal-Reaching Tasks »
  Tianjun Zhang · Ben Eysenbach · Russ Salakhutdinov · Sergey Levine · Joseph Gonzalez
• 2021 : The Information Geometry of Unsupervised Reinforcement Learning »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 : Mismatched No More: Joint Model-Policy Optimization for Model-Based RL »
  Ben Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
• 2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision »
  Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
• 2021 : Hybrid Imitative Planning with Geometric and Predictive Costs in Offroad Environments »
  Daniel Shin · Dhruv Shah · Ali Agha · Nicholas Rhinehart · Sergey Levine
• 2021 : CoMPS: Continual Meta Policy Search »
  Glen Berseth · Zhiwei Zhang · Grace Zhang · Chelsea Finn · Sergey Levine
• 2021 : Offline Reinforcement Learning with Implicit Q-Learning »
  Ilya Kostrikov · Ashvin Nair · Sergey Levine
• 2021 : TRAIL: Near-Optimal Imitation Learning with Suboptimal Data »
  Mengjiao (Sherry) Yang · Sergey Levine · Ofir Nachum
• 2022 : You Only Live Once: Single-Life Reinforcement Learning »
  Annie Chen · Archit Sharma · Sergey Levine · Chelsea Finn
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes »
  Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine
• 2022 : Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning »
  Aviral Kumar · Anikait Singh · Frederik Ebert · Yanlai Yang · Chelsea Finn · Sergey Levine
• 2022 : Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints »
  Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine
• 2022 : Skill Acquisition by Instruction Augmentation on Offline Datasets »
  Ted Xiao · Harris Chan · Pierre Sermanet · Ayzaan Wahid · Anthony Brohan · Karol Hausman · Sergey Levine · Jonathan Tompson
• 2022 : PnP-Nav: Plug-and-Play Policies for Generalizable Visual Navigation Across Robots »
  Dhruv Shah · Ajay Sridhar · Arjun Bhorkar · Noriaki Hirose · Sergey Levine
• 2022 : Bitrate-Constrained DRO: Beyond Worst Case Robustness To Unknown Group Shifts »
  Amrith Setlur · Don Dennis · Benjamin Eysenbach · Aditi Raghunathan · Chelsea Finn · Virginia Smith · Sergey Levine
• 2022 : Confidence-Conditioned Value Functions for Offline Reinforcement Learning »
  Joey Hong · Aviral Kumar · Sergey Levine
• 2022 : Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting »
  Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
• 2022 : Contrastive Example-Based Control »
  Kyle Hatch · Sarthak J Shetty · Benjamin Eysenbach · Tianhe Yu · Rafael Rafailov · Russ Salakhutdinov · Sergey Levine · Chelsea Finn
• 2022 : Offline Reinforcement Learning for Customizable Visual Navigation »
  Dhruv Shah · Arjun Bhorkar · Hrishit Leen · Ilya Kostrikov · Nicholas Rhinehart · Sergey Levine
• 2022 : A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning »
  Benjamin Eysenbach · Matthieu Geist · Sergey Levine · Russ Salakhutdinov
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : Confidence-Conditioned Value Functions for Offline Reinforcement Learning »
  Joey Hong · Aviral Kumar · Sergey Levine
• 2022 : Efficient Deep Reinforcement Learning Requires Regulating Statistical Overfitting »
  Qiyang Li · Aviral Kumar · Ilya Kostrikov · Sergey Levine
• 2022 : Pre-Training for Robots: Leveraging Diverse Multitask Data via Offline Reinforcement Learning »
  Anikait Singh · Aviral Kumar · Frederik Ebert · Yanlai Yang · Chelsea Finn · Sergey Levine
• 2022 : Offline Reinforcement Learning from Heteroskedastic Data Via Support Constraints »
  Anikait Singh · Aviral Kumar · Quan Vuong · Yevgen Chebotar · Sergey Levine
• 2022 : Adversarial Policies Beat Professional-Level Go AIs »
  Tony Wang · Adam Gleave · Nora Belrose · Tom Tseng · Michael Dennis · Yawen Duan · Viktor Pogrebniak · Joseph Miller · Sergey Levine · Stuart J Russell
• 2022 : Contrastive Example-Based Control »
  Kyle Hatch · Sarthak J Shetty · Benjamin Eysenbach · Tianhe Yu · Rafael Rafailov · Russ Salakhutdinov · Sergey Levine · Chelsea Finn
• 2022 : PnP-Nav: Plug-and-Play Policies for Generalizable Visual Navigation Across Robots »
  Dhruv Shah · Ajay Sridhar · Arjun Bhorkar · Noriaki Hirose · Sergey Levine
• 2022 : Offline Reinforcement Learning for Customizable Visual Navigation »
  Dhruv Shah · Arjun Bhorkar · Hrishit Leen · Ilya Kostrikov · Nicholas Rhinehart · Sergey Levine
• 2022 : Contrastive Value Learning: Implicit Models for Simple Offline RL »
  Bogdan Mazoure · Benjamin Eysenbach · Ofir Nachum · Jonathan Tompson
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 : A Connection between One-Step Regularization and Critic Regularization in Reinforcement Learning »
  Benjamin Eysenbach · Matthieu Geist · Russ Salakhutdinov · Sergey Levine
• 2022 : Simplifying Model-based RL: Learning Representations, Latent-space Models, and Policies with One Objective »
  Raj Ghugare · Homanga Bharadhwaj · Benjamin Eysenbach · Sergey Levine · Ruslan Salakhutdinov
• 2022 : Adversarial Policies Beat Professional-Level Go AIs »
  Tony Wang · Adam Gleave · Nora Belrose · Tom Tseng · Michael Dennis · Yawen Duan · Viktor Pogrebniak · Joseph Miller · Sergey Levine · Stuart Russell
• 2022 : Offline Q-learning on Diverse Multi-Task Data Both Scales And Generalizes »
  Aviral Kumar · Rishabh Agarwal · XINYANG GENG · George Tucker · Sergey Levine
• 2022 : Hierarchical Abstraction for Combinatorial Generalization in Object Rearrangement »
  Michael Chang · Alyssa L Dayan · Franziska Meier · Tom Griffiths · Sergey Levine · Amy Zhang
• 2022 Poster: MEMO: Test Time Robustness via Adaptation and Augmentation »
  Marvin Zhang · Sergey Levine · Chelsea Finn
• 2022 Poster: Learning Options via Compression »
  Yiding Jiang · Evan Liu · Benjamin Eysenbach · J. Zico Kolter · Chelsea Finn
• 2022 Poster: First Contact: Unsupervised Human-Machine Co-Adaptation via Mutual Information Maximization »
  Siddharth Reddy · Sergey Levine · Anca Dragan
• 2022 Poster: DASCO: Dual-Generator Adversarial Support Constrained Offline Reinforcement Learning »
  Quan Vuong · Aviral Kumar · Sergey Levine · Yevgen Chebotar
• 2022 Poster: Adversarial Unlearning: Reducing Confidence Along Adversarial Directions »
  Amrith Setlur · Benjamin Eysenbach · Virginia Smith · Sergey Levine
• 2022 Poster: Mismatched No More: Joint Model-Policy Optimization for Model-Based RL »
  Benjamin Eysenbach · Alexander Khazatsky · Sergey Levine · Russ Salakhutdinov
• 2022 Poster: Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity »
  Abhishek Gupta · Aldo Pacchiano · Yuexiang Zhai · Sham Kakade · Sergey Levine
• 2022 Poster: Distributionally Adaptive Meta Reinforcement Learning »
  Anurag Ajay · Abhishek Gupta · Dibya Ghosh · Sergey Levine · Pulkit Agrawal
• 2022 Poster: You Only Live Once: Single-Life Reinforcement Learning »
  Annie Chen · Archit Sharma · Sergey Levine · Chelsea Finn
• 2022 Poster: Object Representations as Fixed Points: Training Iterative Refinement Algorithms with Implicit Differentiation »
  Michael Chang · Tom Griffiths · Sergey Levine
• 2022 Poster: Data-Driven Offline Decision-Making via Invariant Representation Learning »
  Han Qi · Yi Su · Aviral Kumar · Sergey Levine
• 2022 Poster: Contrastive Learning as Goal-Conditioned Reinforcement Learning »
  Benjamin Eysenbach · Tianjun Zhang · Sergey Levine · Russ Salakhutdinov
• 2022 Poster: Imitating Past Successes can be Very Suboptimal »
  Benjamin Eysenbach · Soumith Udatha · Russ Salakhutdinov · Sergey Levine
• 2021 : Retrospective Panel »
  Sergey Levine · Nando de Freitas · Emma Brunskill · Finale Doshi-Velez · Nan Jiang · Rishabh Agarwal
• 2021 Workshop: Ecological Theory of Reinforcement Learning: How Does Task Design Influence Agent Learning? »
  Manfred Díaz · Hiroki Furuta · Elise van der Pol · Lisa Lee · Shixiang (Shane) Gu · Pablo Samuel Castro · Simon Du · Marc Bellemare · Sergey Levine
• 2021 : Data-Driven Offline Optimization for Architecting Hardware Accelerators »
  Aviral Kumar · Amir Yazdanbakhsh · Milad Hashemi · Kevin Swersky · Sergey Levine
• 2021 : Sergey Levine Talk Q&A »
  Sergey Levine
• 2021 : Opinion Contributed Talk: Sergey Levine »
  Sergey Levine
• 2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision Q&A »
  Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
• 2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision »
  Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
• 2021 : Offline Meta-Reinforcement Learning with Online Self-Supervision »
  Vitchyr Pong · Ashvin Nair · Laura Smith · Catherine Huang · Sergey Levine
• 2021 : DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization Q&A »
  Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
• 2021 : DR3: Value-Based Deep Reinforcement Learning Requires Explicit Regularization »
  Aviral Kumar · Rishabh Agarwal · Tengyu Ma · Aaron Courville · George Tucker · Sergey Levine
• 2021 Workshop: Distribution shifts: connecting methods and applications (DistShift) »
  Shiori Sagawa · Pang Wei Koh · Fanny Yang · Hongseok Namkoong · Jiashi Feng · Kate Saenko · Percy Liang · Sarah Bird · Sergey Levine
• 2021 Oral: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
  Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
• 2021 Poster: Robust Predictable Control »
  Ben Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2021 Poster: Which Mutual-Information Representation Learning Objectives are Sufficient for Control? »
  Kate Rakelly · Abhishek Gupta · Carlos Florensa · Sergey Levine
• 2021 Poster: COMBO: Conservative Offline Model-Based Policy Optimization »
  Tianhe Yu · Aviral Kumar · Rafael Rafailov · Aravind Rajeswaran · Sergey Levine · Chelsea Finn
• 2021 Poster: Outcome-Driven Reinforcement Learning via Variational Inference »
  Tim G. J. Rudner · Vitchyr Pong · Rowan McAllister · Yarin Gal · Sergey Levine
• 2021 Poster: Bayesian Adaptation for Covariate Shift »
  Aurick Zhou · Sergey Levine
• 2021 Poster: Offline Reinforcement Learning as One Big Sequence Modeling Problem »
  Michael Janner · Qiyang Li · Sergey Levine
• 2021 Poster: Pragmatic Image Compression for Human-in-the-Loop Decision-Making »
  Sid Reddy · Anca Dragan · Sergey Levine
• 2021 Poster: Replacing Rewards with Examples: Example-Based Policy Search via Recursive Classification »
  Ben Eysenbach · Sergey Levine · Russ Salakhutdinov
• 2021 Poster: Information is Power: Intrinsic Control via Information Capture »
  Nicholas Rhinehart · Jenny Wang · Glen Berseth · John Co-Reyes · Danijar Hafner · Chelsea Finn · Sergey Levine
• 2021 Poster: Conservative Data Sharing for Multi-Task Offline Reinforcement Learning »
  Tianhe Yu · Aviral Kumar · Yevgen Chebotar · Karol Hausman · Sergey Levine · Chelsea Finn
• 2021 Poster: Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability »
  Dibya Ghosh · Jad Rahme · Aviral Kumar · Amy Zhang · Ryan Adams · Sergey Levine
• 2021 Poster: Autonomous Reinforcement Learning via Subgoal Curricula »
  Archit Sharma · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
• 2021 Poster: Adaptive Risk Minimization: Learning to Adapt to Domain Shift »
  Marvin Zhang · Henrik Marklund · Nikita Dhawan · Abhishek Gupta · Sergey Levine · Chelsea Finn
• 2020 : Design-Bench: Benchmarks for Data-Driven Offline Model-Based Optimization »
  Brandon Trabucco · Aviral Kumar · XINYANG GENG · Sergey Levine
• 2020 : Conservative Objective Models: A Simple Approach to Effective Model-Based Optimization »
  Brandon Trabucco · Aviral Kumar · XINYANG GENG · Sergey Levine
• 2020 : Panel »
  Emma Brunskill · Nan Jiang · Nando de Freitas · Finale Doshi-Velez · Sergey Levine · John Langford · Lihong Li · George Tucker · Rishabh Agarwal · Aviral Kumar
• 2020 Poster: Weakly-Supervised Reinforcement Learning for Controllable Behavior »
  Lisa Lee · Benjamin Eysenbach · Russ Salakhutdinov · Shixiang (Shane) Gu · Chelsea Finn
• 2020 Poster: Model Inversion Networks for Model-Based Optimization »
  Aviral Kumar · Sergey Levine
• 2020 Poster: Continual Learning of Control Primitives : Skill Discovery via Reset-Games »
  Kelvin Xu · Siddharth Verma · Chelsea Finn · Sergey Levine
• 2020 Poster: Gradient Surgery for Multi-Task Learning »
  Tianhe Yu · Saurabh Kumar · Abhishek Gupta · Sergey Levine · Karol Hausman · Chelsea Finn
• 2020 Poster: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
  Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
• 2020 Poster: Conservative Q-Learning for Offline Reinforcement Learning »
  Aviral Kumar · Aurick Zhou · George Tucker · Sergey Levine
• 2020 Oral: Rewriting History with Inverse RL: Hindsight Inference for Policy Improvement »
  Benjamin Eysenbach · XINYANG GENG · Sergey Levine · Russ Salakhutdinov
• 2020 Tutorial: (Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications Q&A »
  Sergey Levine · Aviral Kumar
• 2020 Poster: Gamma-Models: Generative Temporal Difference Learning for Infinite-Horizon Prediction »
  Michael Janner · Igor Mordatch · Sergey Levine
• 2020 Poster: One Solution is Not All You Need: Few-Shot Extrapolation via Structured MaxEnt RL »
  Saurabh Kumar · Aviral Kumar · Sergey Levine · Chelsea Finn
• 2020 Poster: Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors »
  Karl Pertsch · Oleh Rybkin · Frederik Ebert · Shenghao Zhou · Dinesh Jayaraman · Chelsea Finn · Sergey Levine
• 2020 Poster: Stochastic Latent Actor-Critic: Deep Reinforcement Learning with a Latent Variable Model »
  Alex X. Lee · Anusha Nagabandi · Pieter Abbeel · Sergey Levine
• 2020 Poster: Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design »
  Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
• 2020 Poster: MOPO: Model-based Offline Policy Optimization »
  Tianhe Yu · Garrett Thomas · Lantao Yu · Stefano Ermon · James Zou · Sergey Levine · Chelsea Finn · Tengyu Ma
• 2020 Poster: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
  Aviral Kumar · Abhishek Gupta · Sergey Levine
• 2020 Spotlight: DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction »
  Aviral Kumar · Abhishek Gupta · Sergey Levine
• 2020 Oral: Emergent Complexity and Zero-shot Transfer via Unsupervised Environment Design »
  Michael Dennis · Natasha Jaques · Eugene Vinitsky · Alexandre Bayen · Stuart Russell · Andrew Critch · Sergey Levine
• 2020 Tutorial: (Track3) Offline Reinforcement Learning: From Algorithm Design to Practical Applications »
  Sergey Levine · Aviral Kumar
• 2019 : Poster and Coffee Break 2 »
  Karol Hausman · Kefan Dong · Ken Goldberg · Lihong Li · Lin Yang · Lingxiao Wang · Lior Shani · Liwei Wang · Loren Amdahl-Culleton · Lucas Cassano · Marc Dymetman · Marc Bellemare · Marcin Tomczak · Margarita Castro · Marius Kloft · Marius-Constantin Dinu · Markus Holzleitner · Martha White · Mengdi Wang · Michael Jordan · Mihailo Jovanovic · Ming Yu · Minshuo Chen · Moonkyung Ryu · Muhammad Zaheer · Naman Agarwal · Nan Jiang · Niao He · Nikolaus Yasui · Nikos Karampatziakis · Nino Vieillard · Ofir Nachum · Olivier Pietquin · Ozan Sener · Pan Xu · Parameswaran Kamalaruban · Paul Mineiro · Paul Rolland · Philip Amortila · Pierre-Luc Bacon · Prakash Panangaden · Qi Cai · Qiang Liu · Quanquan Gu · Raihan Seraj · Richard Sutton · Rick Valenzano · Robert Dadashi · Rodrigo Toro Icarte · Roshan Shariff · Roy Fox · Ruosong Wang · Saeed Ghadimi · Samuel Sokota · Sean Sinclair · Sepp Hochreiter · Sergey Levine · Sergio Valcarcel Macua · Sham Kakade · Shangtong Zhang · Sheila McIlraith · Shie Mannor · Shimon Whiteson · Shuai Li · Shuang Qiu · Wai Lok Li · Siddhartha Banerjee · Sitao Luan · Tamer Basar · Thinh Doan · Tianhe Yu · Tianyi Liu · Tom Zahavy · Toryn Klassen · Tuo Zhao · Vicenç Gómez · Vincent Liu · Volkan Cevher · Wesley Suttle · Xiao-Wen Chang · Xiaohan Wei · Xiaotong Liu · Xingguo Li · Xinyi Chen · Xingyou Song · Yao Liu · YiDing Jiang · Yihao Feng · Yilun Du · Yinlam Chow · Yinyu Ye · Yishay Mansour · · Yonathan Efroni · Yongxin Chen · Yuanhao Wang · Bo Dai · Chen-Yu Wei · Harsh Shrivastava · Hongyang Zhang · Qinqing Zheng · SIDDHARTHA SATPATHI · Xueqing Liu · Andreu Vall
• 2019 : Poster Presentations »
  Rahul Mehta · Andrew Lampinen · Binghong Chen · Sergio Pascual-Diaz · Jordi Grau-Moya · Aldo Faisal · Jonathan Tompson · Yiren Lu · Khimya Khetarpal · Martin Klissarov · Pierre-Luc Bacon · Doina Precup · Thanard Kurutach · Aviv Tamar · Pieter Abbeel · Jinke He · Maximilian Igl · Shimon Whiteson · Wendelin Boehmer · Raphaël Marinier · Olivier Pietquin · Karol Hausman · Sergey Levine · Chelsea Finn · Tianhe Yu · Lisa Lee · Benjamin Eysenbach · Emilio Parisotto · Eric Xing · Ruslan Salakhutdinov · Hongyu Ren · Anima Anandkumar · Deepak Pathak · Christopher Lu · Trevor Darrell · Alexei Efros · Phillip Isola · Feng Liu · Bo Han · Gang Niu · Masashi Sugiyama · Saurabh Kumar · Janith Petangoda · Johan Ferret · James McClelland · Kara Liu · Animesh Garg · Robert Lange
• 2019 : Poster Session »
  Matthia Sabatelli · Adam Stooke · Amir Abdi · Paulo Rauber · Leonard Adolphs · Ian Osband · Hardik Meisheri · Karol Kurach · Johannes Ackermann · Matt Benatan · GUO ZHANG · Chen Tessler · Dinghan Shen · Mikayel Samvelyan · Riashat Islam · Murtaza Dalal · Luke Harries · Andrey Kurenkov · Konrad Żołna · Sudeep Dasari · Kristian Hartikainen · Ofir Nachum · Kimin Lee · Markus Holzleitner · Vu Nguyen · Francis Song · Christopher Grimm · Felipe Leno da Silva · Yuping Luo · Yifan Wu · Alex Lee · Thomas Paine · Wei-Yang Qu · Daniel Graves · Yannis Flet-Berliac · Yunhao Tang · Suraj Nair · Matthew Hausknecht · Akhil Bagaria · Simon Schmitt · Bowen Baker · Paavo Parmas · Benjamin Eysenbach · Lisa Lee · Siyu Lin · Daniel Seita · Abhishek Gupta · Riley Simmons-Edler · Yijie Guo · Kevin Corder · Vikash Kumar · Scott Fujimoto · Adam Lerer · Ignasi Clavera Gilaberte · Nicholas Rhinehart · Ashvin Nair · Ge Yang · Lingxiao Wang · Sungryull Sohn · J. Fernando Hernandez-Garcia · Xian Yeow Lee · Rupesh Srivastava · Khimya Khetarpal · Chenjun Xiao · Luckeciano Carvalho Melo · Rishabh Agarwal · Tianhe Yu · Glen Berseth · Devendra Singh Chaplot · Jie Tang · Anirudh Srinivasan · Tharun Kumar Reddy Medini · Aaron Havens · Misha Laskin · Asier Mujika · Rohan Saphal · Joseph Marino · Alex Ray · Joshua Achiam · Ajay Mandlekar · Zhuang Liu · Danijar Hafner · Zhiwen Tang · Ted Xiao · Michael Walton · Jeff Druce · Ferran Alet · Zhang-Wei Hong · Stephanie Chan · Anusha Nagabandi · Hao Liu · Hao Sun · Ge Liu · Dinesh Jayaraman · John Co-Reyes · Sophia Sanborn
• 2019 : Poster Session »
  Ethan Harris · Tom White · Oh Hyeon Choung · Takashi Shinozaki · Dipan Pal · Katherine L. Hermann · Judy Borowski · Camilo Fosco · Chaz Firestone · Vijay Veerabadran · Benjamin Lahner · Chaitanya Ryali · Fenil Doshi · Pulkit Singh · Sharon Zhou · Michel Besserve · Michael Chang · Anelise Newman · Mahesan Niranjan · Jonathon Hare · Daniela Mihai · Marios Savvides · Simon Kornblith · Christina M Funke · Aude Oliva · Virginia de Sa · Dmitry Krotov · Colin Conwell · George Alvarez · Alex Kolchinski · Shengjia Zhao · Mitchell Gordon · Michael Bernstein · Stefano Ermon · Arash Mehrjou · Bernhard Schölkopf · John Co-Reyes · Michael Janner · Jiajun Wu · Josh Tenenbaum · Sergey Levine · Yalda Mohsenzadeh · Zhenglong Zhou
• 2019 : Coffee Break & Poster Session »
  Samia Mohinta · Andrea Agostinelli · Alexandra Moringen · Jee Hang Lee · Yat Long Lo · Wolfgang Maass · Blue Sheffer · Colin Bredenberg · Benjamin Eysenbach · Liyu Xia · Efstratios Markou · Jan Lichtenberg · Pierre Richemond · Tony Zhang · JB Lanier · Baihan Lin · William Fedus · Glen Berseth · Marta Sarrico · Matthew Crosby · Stephen McAleer · Sina Ghiassian · Franz Scherr · Guillaume Bellec · Darjan Salaj · Arinbjörn Kolbeinsson · Matthew Rosenberg · Jaehoon Shin · Sang Wan Lee · Guillermo Cecchi · Irina Rish · Elias Hajek
• 2019 Poster: Wasserstein Dependency Measure for Representation Learning »
  Sherjil Ozair · Corey Lynch · Yoshua Bengio · Aaron van den Oord · Sergey Levine · Pierre Sermanet
• 2019 Poster: Planning with Goal-Conditioned Policies »
  Soroush Nasiriany · Vitchyr Pong · Steven Lin · Sergey Levine
• 2019 Poster: Search on the Replay Buffer: Bridging Planning and Reinforcement Learning »
  Benjamin Eysenbach · Russ Salakhutdinov · Sergey Levine
• 2019 Poster: MCP: Learning Composable Hierarchical Control with Multiplicative Compositional Policies »
  Xue Bin Peng · Michael Chang · Grace Zhang · Pieter Abbeel · Sergey Levine
• 2019 Poster: Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction »
  Aviral Kumar · Justin Fu · George Tucker · Sergey Levine
• 2019 Poster: Unsupervised Curricula for Visual Meta-Reinforcement Learning »
  Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
• 2019 Poster: Compositional Plan Vectors »
  Coline Devin · Daniel Geng · Pieter Abbeel · Trevor Darrell · Sergey Levine
• 2019 Spotlight: Unsupervised Curricula for Visual Meta-Reinforcement Learning »
  Allan Jabri · Kyle Hsu · Abhishek Gupta · Benjamin Eysenbach · Sergey Levine · Chelsea Finn
• 2019 Poster: Causal Confusion in Imitation Learning »
  Pim de Haan · Dinesh Jayaraman · Sergey Levine
• 2019 Poster: Meta-Learning with Implicit Gradients »
  Aravind Rajeswaran · Chelsea Finn · Sham Kakade · Sergey Levine
• 2019 Poster: When to Trust Your Model: Model-Based Policy Optimization »
  Michael Janner · Justin Fu · Marvin Zhang · Sergey Levine
• 2019 Poster: Guided Meta-Policy Search »
  Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
• 2019 Spotlight: Guided Meta-Policy Search »
  Russell Mendonca · Abhishek Gupta · Rosen Kralev · Pieter Abbeel · Sergey Levine · Chelsea Finn
• 2019 Oral: Causal Confusion in Imitation Learning »
  Pim de Haan · Dinesh Jayaraman · Sergey Levine
• 2018 : Meta-Learning to Follow Instructions, Examples, and Demonstrations »
  Sergey Levine
• 2018 : TBA 2 »
  Sergey Levine
• 2018 : Control as Inference and Soft Deep RL (Sergey Levine) »
  Sergey Levine
• 2018 : TBC 9 »
  Sergey Levine
• 2018 Poster: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
  Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
• 2018 Spotlight: Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models »
  Kurtland Chua · Roberto Calandra · Rowan McAllister · Sergey Levine
• 2018 Poster: Probabilistic Model-Agnostic Meta-Learning »
  Chelsea Finn · Kelvin Xu · Sergey Levine
• 2018 Poster: Meta-Reinforcement Learning of Structured Exploration Strategies »
  Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine
• 2018 Poster: Visual Reinforcement Learning with Imagined Goals »
  Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine
• 2018 Spotlight: Visual Reinforcement Learning with Imagined Goals »
  Ashvin Nair · Vitchyr Pong · Murtaza Dalal · Shikhar Bahl · Steven Lin · Sergey Levine
• 2018 Spotlight: Meta-Reinforcement Learning of Structured Exploration Strategies »
  Abhishek Gupta · Russell Mendonca · YuXuan Liu · Pieter Abbeel · Sergey Levine
• 2018 Poster: Visual Memory for Robust Path Following »
  Ashish Kumar · Saurabh Gupta · David Fouhey · Sergey Levine · Jitendra Malik
• 2018 Poster: Variational Inverse Control with Events: A General Framework for Data-Driven Reward Definition »
  Justin Fu · Avi Singh · Dibya Ghosh · Larry Yang · Sergey Levine
• 2018 Oral: Visual Memory for Robust Path Following »
  Ashish Kumar · Saurabh Gupta · David Fouhey · Sergey Levine · Jitendra Malik
• 2018 Poster: Data-Efficient Hierarchical Reinforcement Learning »
  Ofir Nachum · Shixiang (Shane) Gu · Honglak Lee · Sergey Levine
• 2018 Poster: Where Do You Think You're Going?: Inferring Beliefs about Dynamics from Behavior »
  Sid Reddy · Anca Dragan · Sergey Levine
• 2017 Workshop: Workshop on Meta-Learning »
  Roberto Calandra · Frank Hutter · Hugo Larochelle · Sergey Levine
• 2017 Poster: EX2: Exploration with Exemplar Models for Deep Reinforcement Learning »
  Justin Fu · John Co-Reyes · Sergey Levine
• 2017 Spotlight: EX2: Exploration with Exemplar Models for Deep Reinforcement Learning »
  Justin Fu · John Co-Reyes · Sergey Levine
• 2017 Demonstration: Deep Robotic Learning using Visual Imagination and Meta-Learning »
  Chelsea Finn · Frederik Ebert · Tianhe Yu · Annie Xie · Sudeep Dasari · Pieter Abbeel · Sergey Levine
• 2017 Poster: Interpolated Policy Gradient: Merging On-Policy and Off-Policy Gradient Estimation for Deep Reinforcement Learning »
  Shixiang (Shane) Gu · Timothy Lillicrap · Richard Turner · Zoubin Ghahramani · Bernhard Schölkopf · Sergey Levine
• 2016 Workshop: Deep Learning for Action and Interaction »
  Chelsea Finn · Raia Hadsell · David Held · Sergey Levine · Percy Liang
• 2016 : Sergey Levine (University of California, Berkeley) »
  Sergey Levine
• 2016 Poster: Value Iteration Networks »
  Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
• 2016 Oral: Value Iteration Networks »
  Aviv Tamar · Sergey Levine · Pieter Abbeel · YI WU · Garrett Thomas
• 2015 : Deep Robotic Learning »
  Sergey Levine
• 2014 Workshop: Novel Trends and Applications in Reinforcement Learning »
  Csaba Szepesvari · Marc Deisenroth · Sergey Levine · Pedro Ortega · Brian Ziebart · Emma Brunskill · Naftali Tishby · Gerhard Neumann · Daniel Lee · Sridhar Mahadevan · Pieter Abbeel · David Silver · Vicenç Gómez
• 2014 Poster: Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics »
  Sergey Levine · Pieter Abbeel
• 2014 Spotlight: Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics »
  Sergey Levine · Pieter Abbeel
• 2013 Poster: Variational Policy Search via Trajectory Optimization »
  Sergey Levine · Vladlen Koltun
• 2010 Poster: Feature Construction for Inverse Reinforcement Learning »
  Sergey Levine · Zoran Popovic · Vladlen Koltun