| 2025 | ICLR | An Optimal Discriminator Weighted Imitation Perspective for Reinforcement Learning. | Haoran Xu, Shuozhe Li, Harshit Sikchi, Scott Niekum, Amy Zhang |
| 2025 | ICML | Proto Successor Measure: Representing the Behavior Space of an RL Agent. | Siddhant Agarwal, Harshit Sikchi, Peter Stone, Amy Zhang |
| 2024 | CoRL | A Dual Approach to Imitation Learning from Observations with Offline Datasets. | Harshit Sikchi, Caleb Chuck, Amy Zhang, Scott Niekum |
| 2024 | ICLR | 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 |
| 2024 | ICLR | Score Models for Offline Goal-Conditioned Reinforcement Learning. | Harshit Sikchi, Rohan Chitnis, Ahmed Touati, Alborz Geramifard, Amy Zhang, Scott Niekum |
| 2024 | ICLR | Dual RL: Unification and New Methods for Reinforcement and Imitation Learning. | Harshit Sikchi, Qinqing Zheng, Amy Zhang, Scott Niekum |
| 2021 | CoRL | Learning Off-Policy with Online Planning. | Harshit Sikchi, Wenxuan Zhou, David Held |