Decoupling Dynamics and Reward for Transfer Learning. - Amy Zhang 001; Harsh Satija; Joelle Pineau (ICLR (Workshop), 2018)

Randomized Value Functions via Multiplicative Normalizing Flows. - Ahmed Touati; Harsh Satija; Joshua Romoff; Joelle Pineau; Pascal Vincent (UAI, 2019)

Constrained Markov Decision Processes via Backward Value Functions. - Harsh Satija; Philip Amortila; Joelle Pineau (ICML, 2020)

Locally Persistent Exploration in Continuous Control Tasks with Sparse Rewards. - Susan Amin; Maziar Gomrokchi; Hossein Aboutalebi; Harsh Satija; Doina Precup (ICML, 2021)

Multi-Objective SPIBB: Seldonian Offline Policy Improvement with Safety Constraints in Finite MDPs. - Harsh Satija; Philip S. Thomas; Joelle Pineau; Romain Laroche (NeurIPS, 2021)

A Survey of Exploration Methods in Reinforcement Learning. - Susan Amin; Maziar Gomrokchi; Harsh Satija; Herke van Hoof; Doina Precup (CoRR, 2021)

Group Fairness in Reinforcement Learning. - Harsh Satija; Alessandro Lazaric; Matteo Pirotta; Joelle Pineau (Trans. Mach. Learn. Res., 2023)