Gupta, Abhishek

74 publications

CoRL 2025 ATK: Automatic Task-Driven Keypoint Selection for Robust Policy Learning Yunchu Zhang, Shubham Mittal, Zhengyu Zhang, Liyiming Ke, Siddhartha Srinivasa, Abhishek Gupta

CVPR 2025 DRAWER: Digital Reconstruction and Articulation with Environment Realism Hongchi Xia, Entong Su, Marius Memmel, Arhan Jain, Raymond Yu, Numfor Mbiziwo-Tiapo, Ali Farhadi, Abhishek Gupta, Shenlong Wang, Wei-Chiu Ma

IJCAI 2025 Evolvable Conditional Diffusion Zhao Wei, Chin Chun Ooi, Abhishek Gupta, Jian Cheng Wong, Pao-Hsiung Chiu, Sheares Xue Wen Toh, Yew-Soon Ong

ICLR 2025 HAMSTER: Hierarchical Action Models for Open-World Robot Manipulation Yi Li, Yuquan Deng, Jesse Zhang, Joel Jang, Marius Memmel, Caelan Reed Garrett, Fabio Ramos, Dieter Fox, Anqi Li, Abhishek Gupta, Ankit Goyal

ICLR 2025 Rapidly Adapting Policies to the Real-World via Simulation-Guided Fine-Tuning Patrick Yin, Tyler Westenbroek, Ching-An Cheng, Andrey Kolobov, Abhishek Gupta

CoRL 2025 RoboArena: Distributed Real-World Evaluation of Generalist Robot Policies Pranav Atreya, Karl Pertsch, Tony Lee, Moo Jin Kim, Arhan Jain, Artur Kuramshin, Cyrus Neary, Edward S. Hu, Kanav Arora, Kirsty Ellis, Luca Macesanu, Matthew Leonard, Meedeum Cho, Ozgur Aslan, Shivin Dass, Tony Wang, Xingfang Yuan, Abhishek Gupta, Dinesh Jayaraman, Glen Berseth, Kostas Daniilidis, Roberto Martín-Martín, Youngwoon Lee, Percy Liang, Chelsea Finn, Sergey Levine

ICLR 2025 SRSA: Skill Retrieval and Adaptation for Robotic Assembly Tasks Yijie Guo, Bingjie Tang, Iretiayo Akinola, Dieter Fox, Abhishek Gupta, Yashraj Narang

ICLR 2025 STRAP: Robot Sub-Trajectory Retrieval for Augmented Policy Learning Marius Memmel, Jacob Berg, Bingqing Chen, Abhishek Gupta, Jonathan Francis

CoRL 2025 Steering Your Diffusion Policy with Latent Space Reinforcement Learning Andrew Wagenmaker, Yunchu Zhang, Mitsuhiko Nakamoto, Seohong Park, Waleed Yagoub, Anusha Nagabandi, Abhishek Gupta, Sergey Levine

ICLR 2024 ASID: Active Exploration for System Identification in Robotic Manipulation Marius Memmel, Andrew Wagenmaker, Chuning Zhu, Dieter Fox, Abhishek Gupta

ICLR 2024 CCIL: Continuity-Based Data Augmentation for Corrective Imitation Learning Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha Srinivasa, Abhishek Gupta

NeurIPS 2024 Distributional Successor Features Enable Zero-Shot Policy Optimization Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta

ICLR 2024 Free from Bellman Completeness: Trajectory Stitching via Model-Based Return-Conditioned Supervised Learning Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du

NeurIPS 2024 Learning to Cooperate with Humans Using Generative Agents Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon S. Du, Natasha Jaques

NeurIPSW 2024 Learning to Cooperate with Humans Using Generative Agents Yancheng Liang, Daphne Chen, Abhishek Gupta, Simon Shaolei Du, Natasha Jaques

ICLR 2024 Modeling Boundedly Rational Agents with Latent Inference Budgets Athul Paul Jacob, Abhishek Gupta, Jacob Andreas

NeurIPS 2024 Overcoming the Sim-to-Real Gap: Leveraging Simulation to Learn to Explore for Real-World RL Andrew Wagenmaker, Kevin Huang, Liyiming Ke, Kevin Jamieson, Abhishek Gupta

NeurIPS 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

NeurIPSW 2024 Personalizing Reinforcement Learning from Human Feedback with Variational Preference Learning Sriyash Poddar, Yanming Wan, Hamish Ivison, Abhishek Gupta, Natasha Jaques

CoRL 2024 Teaching Robots with Show and Tell: Using Foundation Models to Synthesize Robot Policies from Language and Visual Demonstration Michael Murray, Abhishek Gupta, Maya Cakmak

ICMLW 2024 Transferable Reinforcement Learning via Generalized Occupancy Models Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta

ICMLW 2024 Transferable Reinforcement Learning via Generalized Occupancy Models Chuning Zhu, Xinqi Wang, Tyler Han, Simon Shaolei Du, Abhishek Gupta

CoRL 2023 Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta

NeurIPS 2023 Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni K. Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal

NeurIPS 2023 Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback Marcel Torne Villasevil, Max Balsells I Pamies, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta

CoRL 2023 Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching H.J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake

NeurIPSW 2023 Free from Bellman Completeness: Trajectory Stitching via Model-Based Return-Conditioned Supervised Learning Zhaoyi Zhou, Chuning Zhu, Runlong Zhou, Qiwen Cui, Abhishek Gupta, Simon Shaolei Du

ICML 2023 Guiding Pretraining in Reinforcement Learning with Large Language Models Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas

ICMLW 2023 How to Select Physics-Informed Neural Networks in the Absence of Ground Truth: A Pareto Front-Based Strategy Zhao Wei, Jian Cheng Wong, Nicholas Wei Yong Sung, Abhishek Gupta, Chin Chun Ooi, Pao-Hsiung Chiu, My Ha Dao, Yew-Soon Ong

ICLR 2023 Learning to Extrapolate: A Transductive Approach Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal

NeurIPSW 2023 Modeling Boundedly Rational Agents with Latent Inference Budgets Athul Jacob, Abhishek Gupta, Jacob Andreas

CoRL 2023 REBOOT: Reuse Data for Bootstrapping Efficient Real-World Dexterous Manipulation Zheyuan Hu, Aaron Rovinsky, Jianlan Luo, Vikash Kumar, Abhishek Gupta, Sergey Levine

NeurIPS 2023 RePo: Resilient Model-Based Reinforcement Learning by Regularizing Posterior Predictability Chuning Zhu, Max Simchowitz, Siri Gadipudi, Abhishek Gupta

NeurIPS 2023 RoboHive: A Unified Framework for Robot Learning Vikash Kumar, Rutav Shah, Gaoyue Zhou, Vincent Moens, Vittorio Caggiano, Abhishek Gupta, Aravind Rajeswaran

NeurIPS 2023 Self-Supervised Reinforcement Learning That Transfers Using Random Features Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta

NeurIPSW 2023 Semantically-Driven Object Search Using Partially Observed 3D Scene Graphs Isaac Remy, Abhishek Gupta, Karen Leung

COLT 2023 Tackling Combinatorial Distribution Shift: A Matrix Completion Perspective Max Simchowitz, Abhishek Gupta, Kaiqing Zhang

NeurIPSW 2023 Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs

NeurIPSW 2023 Universal Visual Decomposer: Long-Horizon Manipulation Made Easy Zichen Zhang, Yunshuang Li, Osbert Bastani, Abhishek Gupta, Dinesh Jayaraman, Yecheng Jason Ma, Luca Weihs

AISTATS 2022 Weighted Gaussian Process Bandits for Non-Stationary Environments Yuntian Deng, Xingyu Zhou, Baekjin Kim, Ambuj Tewari, Abhishek Gupta, Ness Shroff

ICLR 2022 Autonomous Reinforcement Learning: Formalism and Benchmarking Archit Sharma, Kelvin Xu, Nikhil Sardana, Abhishek Gupta, Karol Hausman, Sergey Levine, Chelsea Finn

NeurIPSW 2022 Conditional Moment Alignment for Improved Generalization in Federated Learning Jayanth Reddy Regatti, Songtao Lu, Abhishek Gupta, Ness Shroff

UAI 2022 CounteRGAN: Generating Counterfactuals for Real-Time Recourse and Interpretability Using Residual GANs Daniel Nemirovsky, Nicolas Thiebaut, Ye Xu, Abhishek Gupta

NeurIPS 2022 Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay, Abhishek Gupta, Dibya Ghosh, Sergey Levine, Pulkit Agrawal

ICMLW 2022 Distributionally Adaptive Meta Reinforcement Learning Anurag Ajay, Dibya Ghosh, Sergey Levine, Pulkit Agrawal, Abhishek Gupta

ICMLW 2022 Effective Offline RL Needs Going Beyond Pessimism: Representations and Distributional Shift Xinyang Geng, Kevin Li, Abhishek Gupta, Aviral Kumar, Sergey Levine

NeurIPS 2022 Graph Learning Assisted Multi-Objective Integer Programming Yaoxin Wu, Wen Song, Zhiguang Cao, Jie Zhang, Abhishek Gupta, Mingyan Lin

CoRL 2022 Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox

NeurIPSW 2022 Learning to Extrapolate: A Transductive Approach Aviv Netanyahu, Abhishek Gupta, Max Simchowitz, Kaiqing Zhang, Pulkit Agrawal

NeurIPS 2022 Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham Kakade, Sergey Levine

NeurIPS 2021 Adaptive Risk Minimization: Learning to Adapt to Domain Shift Marvin Zhang, Henrik Marklund, Nikita Dhawan, Abhishek Gupta, Sergey Levine, Chelsea Finn

NeurIPS 2021 Autonomous Reinforcement Learning via Subgoal Curricula Archit Sharma, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

CoRL 2021 Fully Autonomous Real-World Reinforcement Learning with Applications to Mobile Manipulation Charles Sun, Jȩdrzej Orbik, Coline Manon Devin, Brian H. Yang, Abhishek Gupta, Glen Berseth, Sergey Levine

ICLR 2021 Learning to Reach Goals via Iterated Supervised Learning Dibya Ghosh, Abhishek Gupta, Ashwin Reddy, Justin Fu, Coline Manon Devin, Benjamin Eysenbach, Sergey Levine

ICML 2021 MURAL: Meta-Learning Uncertainty-Aware Rewards for Outcome-Driven Reinforcement Learning Kevin Li, Abhishek Gupta, Ashwin Reddy, Vitchyr H Pong, Aurick Zhou, Justin Yu, Sergey Levine

NeurIPS 2021 Teachable Reinforcement Learning via Advice Distillation Olivia Watkins, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Jacob Andreas

NeurIPS 2021 Which Mutual-Information Representation Learning Objectives Are Sufficient for Control? Kate Rakelly, Abhishek Gupta, Carlos Florensa, Sergey Levine

NeurIPS 2020 DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction Aviral Kumar, Abhishek Gupta, Sergey Levine

NeurIPS 2020 Gradient Surgery for Multi-Task Learning Tianhe Yu, Saurabh Kumar, Abhishek Gupta, Sergey Levine, Karol Hausman, Chelsea Finn

ICLR 2020 The Ingredients of Real World Robotic Reinforcement Learning Henry Zhu, Justin Yu, Abhishek Gupta, Dhruv Shah, Kristian Hartikainen, Avi Singh, Vikash Kumar, Sergey Levine

ICLR 2020 Unsupervised Meta-Learning for Reinforcement Learning Abhishek Gupta, Benjamin Eysenbach, Chelsea Finn, Sergey Levine

ICLR 2019 Automatically Composing Representation Transformations as a Means for Generalization Michael Chang, Abhishek Gupta, Sergey Levine, Thomas L. Griffiths

ICLR 2019 Diversity Is All You Need: Learning Skills Without a Reward Function Benjamin Eysenbach, Abhishek Gupta, Julian Ibarz, Sergey Levine

NeurIPS 2019 Guided Meta-Policy Search Russell Mendonca, Abhishek Gupta, Rosen Kralev, Pieter Abbeel, Sergey Levine, Chelsea Finn

ICLR 2019 Guiding Policies with Language via Meta-Learning John D. Co-Reyes, Abhishek Gupta, Suvansh Sanjeev, Nick Altieri, Jacob Andreas, John DeNero, Pieter Abbeel, Sergey Levine

ICLR 2019 Learning Actionable Representations with Goal Conditioned Policies Dibya Ghosh, Abhishek Gupta, Sergey Levine

CoRL 2019 ROBEL: Robotics Benchmarks for Learning with Low-Cost Robots Michael Ahn, Henry Zhu, Kristian Hartikainen, Hugo Ponte, Abhishek Gupta, Sergey Levine, Vikash Kumar

CoRL 2019 Relay Policy Learning: Solving Long-Horizon Tasks via Imitation and Reinforcement Learning Abhishek Gupta, Vikash Kumar, Corey Lynch, Sergey Levine, Karol Hausman

NeurIPS 2019 Unsupervised Curricula for Visual Meta-Reinforcement Learning Allan Jabri, Kyle Hsu, Abhishek Gupta, Ben Eysenbach, Sergey Levine, Chelsea Finn

ICMLW 2018 Automatically Constructing Compositional and Recursive Learners Michael Chang, Abhishek Gupta, Thomas Griffiths, Sergey Levine

NeurIPS 2018 Meta-Reinforcement Learning of Structured Exploration Strategies Abhishek Gupta, Russell Mendonca, YuXuan Liu, Pieter Abbeel, Sergey Levine

ICML 2018 Self-Consistent Trajectory Autoencoder: Hierarchical Reinforcement Learning with Trajectory Embeddings John Co-Reyes, YuXuan Liu, Abhishek Gupta, Benjamin Eysenbach, Pieter Abbeel, Sergey Levine

ICLR 2017 Learning Invariant Feature Spaces to Transfer Skills with Reinforcement Learning Abhishek Gupta, Coline Devin, Yuxuan Liu, Pieter Abbeel, Sergey Levine

AAAI 2015 Tractability of Planning with Loops Siddharth Srivastava, Shlomo Zilberstein, Abhishek Gupta, Pieter Abbeel, Stuart Russell