Entropy Regularization with Discounted Future State Distribution in Policy Gradient Methods. - Riashat Islam; Raihan Seraj; Pierre-Luc Bacon; Doina Precup (CoRR, 2019)

Doubly Robust Off-Policy Actor-Critic Algorithms for Reinforcement Learning. - Riashat Islam; Raihan Seraj; Samin Yeasar Arnob; Doina Precup (CoRR, 2019)

Mean-field approximation for large-population beauty-contest games. - Raihan Seraj; Jerome Le Ny; Aditya Mahajan (CDC, 2021)

Tsetlin Machine for Solving Contextual Bandit Problems. - Raihan Seraj; Jivitesh Sharma; Ole-Christoffer Granmo (NeurIPS, 2022)

Approximate Information State for Approximate Planning and Reinforcement Learning in Partially Observed Systems. - Jayakumar Subramanian; Amit Sinha; Raihan Seraj; Aditya Mahajan (J. Mach. Learn. Res., 2022)

AutoCast++: Enhancing World Event Prediction with Zero-shot Ranking-based Context Retrieval. - Qi Yan; Raihan Seraj; Jiawei He; Lili Meng; Tristan Sylvain (ICLR, 2024)

PcLast: Discovering Plannable Continuous Latent States. - Anurag Koul; Shivakanth Sujit; Shaoru Chen; Ben Evans; Lili Wu; Byron Xu; Rajan Chari; Riashat Islam; Raihan Seraj; Yonathan Efroni; Lekan P. Molu; Miroslav Dudík; et al. (ICML, 2024)

Generalizing Multi-Step Inverse Models for Representation Learning to Finite-Memory POMDPs. - Lili Wu; Ben Evans; Riashat Islam; Raihan Seraj; Yonathan Efroni; Alex Lamb (CoRR, 2024)

Fatigue and Task Load Dependent Decision Referrals for Joint Binary Classification in Human-Automation Teams. - Raihan Seraj; Jerome Le Ny; Aditya Mahajan (IEEE Control. Syst. Lett., 2025)

Contextual bandits with entropy-based human feedback. - Raihan Seraj; Lili Meng; Tristan Sylvain (CoRR, 2025)