Harshit Sikchi

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Perceptual Aliasing

Position Control

Ordinal Regression

Top Venues

Trans. Mach. Learn. Res.

Publications

Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum
A Dual Approach to Imitation Learning from Observations with Offline Datasets. CoRR (2024)
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 (2024)
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)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. ICLR (2024)
Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. ICLR (2024)
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 (2024)
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
Score Models for Offline Goal-Conditioned Reinforcement Learning. CoRR (2023)
Harshit Sikchi, Amy Zhang, Scott Niekum
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods. CoRR (2023)
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 (2023)
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
A Ranking Game for Imitation Learning. Trans. Mach. Learn. Res. 2023 (2023)
Rishabh Madan, Harshit Sikchi, Ethan K. Gordon, Tapomayukh Bhattacharjee
Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation. CoRR (2022)
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
A Ranking Game for Imitation Learning. CoRR (2022)
Harshit Sikchi, Wenxuan Zhou, David Held
Learning Off-Policy with Online Planning. CoRL (2021)
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 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)
Harshit Sikchi, Wenxuan Zhou, David Held
Lyapunov Barrier Policy Optimization. CoRR (2021)
Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson
Imitative Planning using Conditional Normalizing Flow. CoRR (2020)
Harshit Sikchi, Wenxuan Zhou, David Held
Learning Off-Policy with Online Planning. CoRR (2020)