Harshit Sikchi

28 papers A* 6Misc 2Journal 19Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Regularized Latent Dynamics Prediction is a Strong Baseline For Behavioral Foundation Models.
CoRR
Pranaya Jajoo, Harshit Sikchi, Siddhant Agarwal, Amy Zhang, Scott Niekum, Martha White
2025 A* conf
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning.
ICLR
Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang
2025 J jnl
An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning.
CoRR
Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang
2025 J jnl
CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance.
CoRR
Arthur Zhang, Harshit Sikchi, Amy Zhang, Joydeep Biswas
2025 J jnl
CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation.
CoRR
Kushal Gajjar, Harshit Sikchi, Arpit Singh Gautam, Marc Hammons, Saurabh Jha
2025 J jnl
Fast Adaptation with Behavioral Foundation Models.
CoRR
Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta
2025 A* conf
Proto Successor Measure: Representing the Behavior Space of an RL Agent.
ICML
Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2024 Misc conf
A Dual Approach to Imitation Learning from Observations with Offline Datasets.
CoRL
Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum
2024 J jnl
A Dual Approach to Imitation Learning from Observations with Offline Datasets.
CoRR
Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum
2024 A* conf
Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning.
ICLR
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
2024 A* conf
Dual RL: Unification and New Methods for Reinforcement and Imitation Learning.
ICLR
Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum
2024 J jnl
Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning.
CoRR
Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang
2024 J jnl
RL Zero: Zero-Shot Language to Behaviors without any Supervision.
CoRR
Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum
2024 J jnl
Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning.
CoRR
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
2024 A* conf
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.
NeurIPS
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
2024 J jnl
Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.
CoRR
Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum
2024 A* conf
Score Models for Offline Goal-Conditioned Reinforcement Learning.
ICLR
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
2023 J jnl
A Ranking Game for Imitation Learning.
Trans. Mach. Learn. Res.
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
2023 J jnl
Contrastive Preference Learning: Learning from Human Feedback without RL.
CoRR
Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh
2023 J jnl
Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods.
CoRR
Harshit Sikchi, Amy Zhang, Scott Niekum
2023 J jnl
Score Models for Offline Goal-Conditioned Reinforcement Learning.
CoRR
Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum
2022 J jnl
A Ranking Game for Imitation Learning.
CoRR
Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum
2022 J jnl
Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation.
CoRR
Rishabh Madan, Harshit Sikchi, Ethan K. Gordon, Tapomayukh Bhattacharjee
2021 Misc conf
Learning Off-Policy with Online Planning.
CoRL
Harshit Sikchi, Wenxuan Zhou, David Held
2021 J jnl
Lyapunov Barrier Policy Optimization.
CoRR
Harshit Sikchi, Wenxuan Zhou, David Held
2021 — conf
Real Robot Challenge: A Robotics Competition in the Cloud.
NeurIPS (Competition and Demos)
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
2020 J jnl
Imitative Planning using Conditional Normalizing Flow.
CoRR
Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson
2020 J jnl
Learning Off-Policy with Online Planning.
CoRR
Harshit Sikchi, Wenxuan Zhou, David Held