More from the Same Authors

• 2021 : RB2: Robotic Manipulation Benchmarking with a Twist »
  Sudeep Dasari · Jianren Wang · Joyce Hong · Shikhar Bahl · Yixin Lin · Austin Wang · Abitha Thankaraj · Karanbir Chahal · Berk Calli · Saurabh Gupta · David Held · Lerrel Pinto · Deepak Pathak · Vikash Kumar · Abhinav Gupta
• 2021 : The CLEAR Benchmark: Continual LEArning on Real-World Imagery »
  Zhiqiu Lin · Jia Shi · Deepak Pathak · Deva Ramanan
• 2021 : Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives »
  Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
• 2022 : Test-time adaptation with slot-centric models »
  Mihir Prabhudesai · Sujoy Paul · Sjoerd van Steenkiste · Mehdi S. M. Sajjadi · Anirudh Goyal · Deepak Pathak · Katerina Fragkiadaki · Gaurav Aggarwal · Thomas Kipf
• 2022 : Test-time adaptation with slot-centric models »
  Mihir Prabhudesai · Sujoy Paul · Sjoerd van Steenkiste · Mehdi S. M. Sajjadi · Anirudh Goyal · Deepak Pathak · Katerina Fragkiadaki · Gaurav Aggarwal · Thomas Kipf
• 2023 Poster: Test time Adaptation with Diffusion Models »
  Mihir Prabhudesai · Tsung-Wei Ke · Alex Li · Deepak Pathak · Katerina Fragkiadaki
• 2023 Poster: General Munchausen Reinforcement Learning with Tsallis Kullback-Leibler Divergence »
  Lingwei Zhu · Zheng Chen · Matthew Schlegel · Martha White
• 2022 Workshop: Deep Reinforcement Learning Workshop »
  Karol Hausman · Qi Zhang · Matthew Taylor · Martha White · Suraj Nair · Manan Tomar · Risto Vuorio · Ted Xiao · Zeyu Zheng · Manan Tomar
• 2022 Poster: Continual Learning with Evolving Class Ontologies »
  Zhiqiu Lin · Deepak Pathak · Yu-Xiong Wang · Deva Ramanan · Shu Kong
• 2021 Workshop: Deep Reinforcement Learning »
  Pieter Abbeel · Chelsea Finn · David Silver · Matthew Taylor · Martha White · Srijita Das · Yuqing Du · Andrew Patterson · Manan Tomar · Olivia Watkins
• 2021 Oral: Interesting Object, Curious Agent: Learning Task-Agnostic Exploration »
  Simone Parisi · Victoria Dean · Deepak Pathak · Abhinav Gupta
• 2021 Poster: Accelerating Robotic Reinforcement Learning via Parameterized Action Primitives »
  Murtaza Dalal · Deepak Pathak · Russ Salakhutdinov
• 2021 Poster: Discovering and Achieving Goals via World Models »
  Russell Mendonca · Oleh Rybkin · Kostas Daniilidis · Danijar Hafner · Deepak Pathak
• 2021 Poster: Functional Regularization for Reinforcement Learning via Learned Fourier Features »
  Alex Li · Deepak Pathak
• 2021 Poster: Interesting Object, Curious Agent: Learning Task-Agnostic Exploration »
  Simone Parisi · Victoria Dean · Deepak Pathak · Abhinav Gupta
• 2020 Poster: Neural Dynamic Policies for End-to-End Sensorimotor Learning »
  Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak
• 2020 Spotlight: Neural Dynamic Policies for End-to-End Sensorimotor Learning »
  Shikhar Bahl · Mustafa Mukadam · Abhinav Gupta · Deepak Pathak
• 2020 Poster: An implicit function learning approach for parametric modal regression »
  Yangchen Pan · Ehsan Imani · Amir-massoud Farahmand · Martha White
• 2020 Poster: Towards Safe Policy Improvement for Non-Stationary MDPs »
  Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas
• 2020 Spotlight: Towards Safe Policy Improvement for Non-Stationary MDPs »
  Yash Chandak · Scott Jordan · Georgios Theocharous · Martha White · Philip Thomas
• 2020 Poster: Sparse Graphical Memory for Robust Planning »
  Scott Emmons · Ajay Jain · Misha Laskin · Thanard Kurutach · Pieter Abbeel · Deepak Pathak
• 2019 : Closing Remarks »
  Bo Dai · Niao He · Nicolas Le Roux · Lihong Li · Dale Schuurmans · Martha White
• 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 Workshop: The Optimization Foundations of Reinforcement Learning »
  Bo Dai · Niao He · Nicolas Le Roux · Lihong Li · Dale Schuurmans · Martha White
• 2019 : Opening Remarks »
  Bo Dai · Niao He · Nicolas Le Roux · Lihong Li · Dale Schuurmans · Martha White
• 2019 Poster: Learning Macroscopic Brain Connectomes via Group-Sparse Factorization »
  Farzane Aminmansour · Andrew Patterson · Lei Le · Yisu Peng · Daniel Mitchell · Franco Pestilli · Cesar F Caiafa · Russell Greiner · Martha White
• 2019 Poster: Importance Resampling for Off-policy Prediction »
  Matthew Schlegel · Wesley Chung · Daniel Graves · Jian Qian · Martha White
• 2019 Poster: Meta-Learning Representations for Continual Learning »
  Khurram Javed · Martha White
• 2018 : Invited Speaker #6 Martha White »
  Martha White
• 2018 Poster: Supervised autoencoders: Improving generalization performance with unsupervised regularizers »
  Lei Le · Andrew Patterson · Martha White
• 2018 Poster: Context-dependent upper-confidence bounds for directed exploration »
  Raksha Kumaraswamy · Matthew Schlegel · Adam White · Martha White
• 2018 Poster: An Off-policy Policy Gradient Theorem Using Emphatic Weightings »
  Ehsan Imani · Eric Graves · Martha White
• 2016 Poster: Estimating the class prior and posterior from noisy positives and unlabeled data »
  Shantanu Jain · Martha White · Predrag Radivojac
• 2012 Poster: Convex Multi-view Subspace Learning »
  Martha White · Yao-Liang Yu · Xinhua Zhang · Dale Schuurmans
• 2010 Poster: Relaxed Clipping: A Global Training Method for Robust Regression and Classification »
  Yao-Liang Yu · Min Yang · Linli Xu · Martha White · Dale Schuurmans
• 2010 Poster: Interval Estimation for Reinforcement-Learning Algorithms in Continuous-State Domains »
  Martha White · Adam M White