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Abhishek Gupta
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Publications
- 2024
- [i67]Marcel Torne, Anthony Simeonov, Zechu Li, April Chan, Tao Chen, Abhishek Gupta, Pulkit Agrawal:
Reconciling Reality through Simulation: A Real-to-Sim-to-Real Approach for Robust Manipulation. CoRR abs/2403.03949 (2024) - [i66]Chuning Zhu, Xinqi Wang, Tyler Han, Simon S. Du, Abhishek Gupta:
Transferable Reinforcement Learning via Generalized Occupancy Models. CoRR abs/2403.06328 (2024) - 2023
- [c70]Max Balsells, Marcel Torne Villasevil, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta:
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRL 2023: 774-799 - [c69]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRL 2023: 2878-2904 - [c67]Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta:
Self-Supervised Reinforcement Learning that Transfers using Random Features. NeurIPS 2023 - [c66]Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal:
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. NeurIPS 2023 - [c65]Marcel Torne Villasevil, Max Balsells, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta:
Breadcrumbs to the Goal: Supervised Goal Selection from Human-in-the-Loop Feedback. NeurIPS 2023 - [c64]Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa:
Cherry-Picking with Reinforcement Learning. Robotics: Science and Systems 2023 - [i65]Yunchu Zhang, Liyiming Ke, Abhay Deshpande, Abhishek Gupta, Siddhartha S. Srinivasa:
Cherry-Picking with Reinforcement Learning. CoRR abs/2303.05508 (2023) - [i59]H. J. Terry Suh, Glen Chou, Hongkai Dai, Lujie Yang, Abhishek Gupta, Russ Tedrake:
Fighting Uncertainty with Gradients: Offline Reinforcement Learning via Diffusion Score Matching. CoRR abs/2306.14079 (2023) - [i57]Meenal Parakh, Alisha Fong, Anthony Simeonov, Abhishek Gupta, Tao Chen, Pulkit Agrawal:
Human-Assisted Continual Robot Learning with Foundation Models. CoRR abs/2309.14321 (2023) - [i56]Zhang-Wei Hong, Aviral Kumar, Sathwik Karnik, Abhishek Bhandwaldar, Akash Srivastava, Joni Pajarinen, Romain Laroche, Abhishek Gupta, Pulkit Agrawal:
Beyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets. CoRR abs/2310.04413 (2023) - [i54]Liyiming Ke, Yunchu Zhang, Abhay Deshpande, Siddhartha S. Srinivasa, Abhishek Gupta:
CCIL: Continuity-based Data Augmentation for Corrective Imitation Learning. CoRR abs/2310.12972 (2023) - [i53]Max Balsells, Marcel Torne, Zihan Wang, Samedh Desai, Pulkit Agrawal, Abhishek Gupta:
Autonomous Robotic Reinforcement Learning with Asynchronous Human Feedback. CoRR abs/2310.20608 (2023) - 2022
- [c62]Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox:
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. CoRL 2022: 1222-1232 - [i36]Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox:
DexTransfer: Real World Multi-fingered Dexterous Grasping with Minimal Human Demonstrations. CoRR abs/2209.14284 (2022) - [i35]Zoey Qiuyu Chen, Karl Van Wyk, Yu-Wei Chao, Wei Yang, Arsalan Mousavian, Abhishek Gupta, Dieter Fox:
Learning Robust Real-World Dexterous Grasping Policies via Implicit Shape Augmentation. CoRR abs/2210.13638 (2022)
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