[ICML 2024] “Global Optimality without Mixing Time Oracles in Average-reward RL via Multi-level Actor-Critic”

Bhrij Patel, Wesley A. Suttle, Alec Koppel, Vaneet Aggarwal, Brain M. Sadler, Amrit Singh Bedi, Dinesh Manocha.

[ICML 2023] “Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic.” Proceedings of the 40th International Conference on Machine Learning”

Wesley A. Suttle, Amrit Singh Bedi, Bhrij Patel, Alec Koppel, Brain M. Sadler, Dinesh Manocha.

[JoQC 2022]“In pursuit of interpretable, fair and accurate machine learning for criminal recidivism prediction”

Caroline Wang, Bin Han, Bhrij Patel, Cynthia Rudin


“Ada-NAV: Adaptive Trajectory-Based Sample Efficient Policy Learning for Robotic Navigation”

Bhrij Patel, Kasun Weerakoon, Wesley A. Suttle, Alec Koppel, Brian M. Sadler, Tianyi Zhou, Amrit Singh Bedi, Dinesh Manocha.