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ORCIDHarshit Sikchi
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2020 – today
- 2024
[c5]Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh:
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning. ICLR 2024- [c4]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR 2024 - [c3]Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum:
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. ICLR 2024 - [i11]Caleb Chuck, Carl Qi, Michael J. Munje, Shuozhe Li, Max Rudolph, Chang Shi, Siddhant Agarwal, Harshit Sikchi, Abhinav Peri, Sarthak Dayal, Evan Kuo, Kavan Mehta, Anthony Wang, Peter Stone, Amy Zhang, Scott Niekum:
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning. CoRR abs/2405.03113 (2024) - [i10]Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum:
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms. CoRR abs/2406.02900 (2024) - [i9]Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum:
A Dual Approach to Imitation Learning from Observations with Offline Datasets. CoRR abs/2406.08805 (2024) - 2023
- [j1]Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum:
A Ranking Game for Imitation Learning. Trans. Mach. Learn. Res. 2023 (2023) - [i8]Harshit Sikchi, Amy Zhang, Scott Niekum:
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods. CoRR abs/2302.08560 (2023) - [i7]Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh:
Contrastive Preference Learning: Learning from Human Feedback without RL. CoRR abs/2310.13639 (2023) - [i6]Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum:
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR abs/2311.02013 (2023) - 2022
- [i5]Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum:
A Ranking Game for Imitation Learning. CoRR abs/2202.03481 (2022) - [i4]Rishabh Madan, Harshit Sikchi, Ethan K. Gordon
, Tapomayukh Bhattacharjee:
Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation. CoRR abs/2203.08371 (2022) - 2021
- [c2]Harshit Sikchi, Wenxuan Zhou, David Held:
Learning Off-Policy with Online Planning. CoRL 2021: 1622-1633 - [c1]Stefan Bauer, Manuel Wüthrich, Felix Widmaier, Annika Buchholz, Sebastian Stark, Anirudh Goyal, Thomas Steinbrenner, Joel Akpo, Shruti Joshi, Vincent Berenz, Vaibhav Agrawal, Niklas Funk, Julen Urain De Jesus, Jan Peters, Joe Watson, Claire Chen, Krishnan Srinivasan, Junwu Zhang, Jeffrey Zhang, Matthew R. Walter, Rishabh Madan, Takuma Yoneda, Denis Yarats, Arthur Allshire, Ethan K. Gordon, Tapomayukh Bhattacharjee, Siddhartha S. Srinivasa, Animesh Garg, Takahiro Maeda, Harshit Sikchi, Jilong Wang, Qingfeng Yao, Shuyu Yang, Robert McCarthy, Francisco Roldan Sanchez, Qiang Wang, David Cordova Bulens, Kevin McGuinness, Noel E. O'Connor, Stephen J. Redmond, Bernhard Schölkopf:
Real Robot Challenge: A Robotics Competition in the Cloud. NeurIPS (Competition and Demos) 2021: 190-204 - [i3]Harshit Sikchi, Wenxuan Zhou, David Held:
Lyapunov Barrier Policy Optimization. CoRR abs/2103.09230 (2021) - 2020
- [i2]Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson:
Imitative Planning using Conditional Normalizing Flow. CoRR abs/2007.16162 (2020) - [i1]Harshit Sikchi, Wenxuan Zhou, David Held:
Learning Off-Policy with Online Planning. CoRR abs/2008.10066 (2020)
Coauthor Index
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