Harshit Sikchi

According to our database, Harshit Sikchi authored at least 21 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation.

Kushal Gajjar, Harshit Sikchi, Arpit Singh Gautam, Marc Hammons, Saurabh Jha

CoRR, July, 2025

Fast Adaptation with Behavioral Foundation Models.

Harshit Sikchi, Andrea Tirinzoni, Ahmed Touati, Yingchen Xu, Anssi Kanervisto, Scott Niekum, Amy Zhang, Alessandro Lazaric, Matteo Pirotta

CoRR, April, 2025

CREStE: Scalable Mapless Navigation with Internet Scale Priors and Counterfactual Guidance.

Arthur Zhang, Harshit Sikchi, Amy Zhang, Joydeep Biswas

CoRR, March, 2025

Proto Successor Measure: Representing the Behavior Space of an RL Agent.

Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang

Proceedings of the Forty-second International Conference on Machine Learning, 2025

An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning.

Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

RL Zero: Zero-Shot Language to Behaviors without any Supervision.

Harshit Sikchi, Siddhant Agarwal, Pranaya Jajoo, Samyak Parajuli, Caleb Chuck, Max Rudolph, Peter Stone, Amy Zhang, Scott Niekum

CoRR, 2024

Proto Successor Measure: Representing the Space of All Possible Solutions of Reinforcement Learning.

Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang

CoRR, 2024

Robot Air Hockey: A Manipulation Testbed for Robot Learning with Reinforcement Learning.

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

CoRR, 2024

Scaling Laws for Reward Model Overoptimization in Direct Alignment Algorithms.

Rafael Rafailov, Yaswanth Chittepu, Ryan Park, Harshit Sikchi, Joey Hejna, W. Bradley Knox, Chelsea Finn, Scott Niekum

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Dual RL: Unification and New Methods for Reinforcement and Imitation Learning.

Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Score Models for Offline Goal-Conditioned Reinforcement Learning.

Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Contrastive Preference Learning: Learning from Human Feedback without Reinforcement Learning.

Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh

Proceedings of the Twelfth International Conference on Learning Representations, 2024

A Dual Approach to Imitation Learning from Observations with Offline Datasets.

Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum

Proceedings of the Conference on Robot Learning, 6-9 November 2024, Munich, Germany., 2024

2023

A Ranking Game for Imitation Learning.

Harshit Sikchi, Akanksha Saran, Wonjoon Goo, Scott Niekum

Trans. Mach. Learn. Res., 2023

Contrastive Preference Learning: Learning from Human Feedback without RL.

Joey Hejna, Rafael Rafailov, Harshit Sikchi, Chelsea Finn, Scott Niekum, W. Bradley Knox, Dorsa Sadigh

CoRR, 2023

Imitation from Arbitrary Experience: A Dual Unification of Reinforcement and Imitation Learning Methods.

Harshit Sikchi, Amy Zhang, Scott Niekum

CoRR, 2023

2022

Real Robot Challenge 2021: Cartesian Position Control with Triangle Grasp and Trajectory Interpolation.

Rishabh Madan, Harshit Sikchi, Ethan K. Gordon, Tapomayukh Bhattacharjee

CoRR, 2022

2021

Lyapunov Barrier Policy Optimization.

Harshit Sikchi, Wenxuan Zhou, David Held

CoRR, 2021

Real Robot Challenge: A Robotics Competition in the Cloud.

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

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

Learning Off-Policy with Online Planning.

Harshit Sikchi, Wenxuan Zhou, David Held

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Imitative Planning using Conditional Normalizing Flow.

Shubhankar Agarwal, Harshit Sikchi, Cole Gulino, Eric Wilkinson

CoRR, 2020