More from the Same Authors

• 2021 : 3D Neural Scene Representations for Visuomotor Control »
  Yunzhu Li · Shuang Li · Vincent Sitzmann · Pulkit Agrawal · Antonio Torralba
• 2021 : 3D Neural Scene Representations for Visuomotor Control »
  Yunzhu Li · Shuang Li · Vincent Sitzmann · Pulkit Agrawal · Antonio Torralba
• 2022 : A Mixture-of-Expert Approach to RL-based Dialogue Management »
  Yinlam Chow · Azamat Tulepbergenov · Ofir Nachum · Dhawal Gupta · Moonkyung Ryu · Mohammad Ghavamzadeh · Craig Boutilier
• 2022 : Is Conditional Generative Modeling all you need for Decision-Making? »
  Anurag Ajay · Yilun Du · Abhi Gupta · Josh Tenenbaum · Tommi Jaakkola · Pulkit Agrawal
• 2022 : Learning to Extrapolate: A Transductive Approach »
  Aviv Netanyahu · Abhishek Gupta · Max Simchowitz · Kaiqing Zhang · Pulkit Agrawal
• 2022 : Fast Adaptation via Human Diagnosis of Task Distribution Shift »
  Andi Peng · Mark Ho · Aviv Netanyahu · Julie A Shah · Pulkit Agrawal
• 2022 : Aligning Robot Representations with Humans »
  Andreea Bobu · Andi Peng · Pulkit Agrawal · Julie A Shah · Anca Dragan
• 2023 Poster: Self-Supervised Reinforcement Learning that Transfers using Random Features »
  Boyuan Chen · Chuning Zhu · Pulkit Agrawal · Kaiqing Zhang · Abhishek Gupta
• 2023 Poster: Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback »
  Marcel Torne Villasevil · Max Balsells I Pamies · Zihan Wang · Samedh Desai · Tao Chen · Pulkit Agrawal · Abhishek Gupta
• 2023 Poster: Human-Guided Complexity-Controlled Abstractions »
  Andi Peng · Mycal Tucker · Eoin Kenny · Noga Zaslavsky · Pulkit Agrawal · Julie A Shah
• 2023 Poster: Ordering-based Conditions for Global Convergence of Policy Gradient Methods »
  Jincheng Mei · Bo Dai · Alekh Agarwal · Mohammad Ghavamzadeh · Csaba Szepesvari · Dale Schuurmans
• 2023 Poster: Hierarchical Planning with Foundation Models »
  Anurag Ajay · Seungwook Han · Yilun Du · Shuang Li · Abhi Gupta · Tommi Jaakkola · Josh Tenenbaum · Leslie Kaelbling · Akash Srivastava · Pulkit Agrawal
• 2023 Poster: Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets »
  Zhang-Wei Hong · Aviral Kumar · Sathwik Karnik · Abhishek Bhandwaldar · Akash Srivastava · Joni Pajarinen · Romain Laroche · Abhishek Gupta · Pulkit Agrawal
• 2023 Poster: Offline Reinforcement Learning for Mixture-of-Expert Dialogue Management »
  Dhawal Gupta · Yinlam Chow · Azamat Tulepbergenov · Mohammad Ghavamzadeh · Craig Boutilier
• 2023 Poster: On Dynamic Programming Decompositions of Static Risk Measures in Markov Decision Processes »
  Jia Lin Hau · Erick Delage · Mohammad Ghavamzadeh · Marek Petrik
• 2023 Poster: Reinforcement Learning for Fine-tuning Text-to-Image Diffusion Models »
  Ying Fan · Olivia Watkins · Yuqing Du · Hao Liu · Moonkyung Ryu · Craig Boutilier · Pieter Abbeel · Mohammad Ghavamzadeh · Kangwook Lee · Kimin Lee
• 2022 : Visual Pre-training for Navigation: What Can We Learn from Noise? »
  Felix Yanwei Wang · Ching-Yun Ko · Pulkit Agrawal
• 2022 Poster: Private and Communication-Efficient Algorithms for Entropy Estimation »
  Gecia Bravo-Hermsdorff · Róbert Busa-Fekete · Mohammad Ghavamzadeh · Andres Munoz Medina · Umar Syed
• 2022 Poster: Redeeming intrinsic rewards via constrained optimization »
  Eric Chen · Zhang-Wei Hong · Joni Pajarinen · Pulkit Agrawal
• 2022 Poster: Distributionally Adaptive Meta Reinforcement Learning »
  Anurag Ajay · Abhishek Gupta · Dibya Ghosh · Sergey Levine · Pulkit Agrawal
• 2022 Poster: Robust Reinforcement Learning using Offline Data »
  Kishan Panaganti · Zaiyan Xu · Dileep Kalathil · Mohammad Ghavamzadeh
• 2022 Poster: Operator Splitting Value Iteration »
  Amin Rakhsha · Andrew Wang · Mohammad Ghavamzadeh · Amir-massoud Farahmand
• 2022 Poster: Efficient Risk-Averse Reinforcement Learning »
  Ido Greenberg · Yinlam Chow · Mohammad Ghavamzadeh · Shie Mannor
• 2021 : 3D Neural Scene Representations for Visuomotor Control »
  Yunzhu Li · Shuang Li · Vincent Sitzmann · Pulkit Agrawal · Antonio Torralba
• 2021 Workshop: 2nd Workshop on Self-Supervised Learning: Theory and Practice »
  Pengtao Xie · Ishan Misra · Pulkit Agrawal · Abdelrahman Mohamed · Shentong Mo · Youwei Liang · Jeannette Bohg · Kristina N Toutanova
• 2021 Poster: Adaptive Sampling for Minimax Fair Classification »
  Shubhanshu Shekhar · Greg Fields · Mohammad Ghavamzadeh · Tara Javidi
• 2020 Workshop: Self-Supervised Learning -- Theory and Practice »
  Pengtao Xie · Shanghang Zhang · Pulkit Agrawal · Ishan Misra · Cynthia Rudin · Abdelrahman Mohamed · Wenzhen Yuan · Barret Zoph · Laurens van der Maaten · Xingyi Yang · Eric Xing
• 2020 Poster: Online Planning with Lookahead Policies »
  Yonathan Efroni · Mohammad Ghavamzadeh · Shie Mannor
• 2019 Poster: Superposition of many models into one »
  Brian Cheung · Alexander Terekhov · Yubei Chen · Pulkit Agrawal · Bruno Olshausen
• 2016 : What makes ImageNet good for Transfer Learning? »
  Jacob MY Huh · Pulkit Agrawal · Alexei Efros
• 2016 : Jitendra Malik and Pulkit Agrawal »
  Jitendra Malik · Pulkit Agrawal
• 2016 Poster: Learning to Poke by Poking: Experiential Learning of Intuitive Physics »
  Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine
• 2016 Oral: Learning to Poke by Poking: Experiential Learning of Intuitive Physics »
  Pulkit Agrawal · Ashvin Nair · Pieter Abbeel · Jitendra Malik · Sergey Levine