Hanna, Josiah

9 publications

NeurIPS 2023 Conditional Mutual Information for Disentangled Representations in Reinforcement Learning Mhairi Dunion, Trevor McInroe, Kevin Luck, Josiah Hanna, Stefano Albrecht

NeurIPS 2023 Multi-Task Representation Learning for Pure Exploration in Bilinear Bandits Subhojyoti Mukherjee, Qiaomin Xie, Josiah Hanna, Robert Nowak

NeurIPS 2023 State-Action Similarity-Based Representations for Off-Policy Evaluation Brahma Pavse, Josiah Hanna

NeurIPS 2022 Robust On-Policy Sampling for Data-Efficient Policy Evaluation in Reinforcement Learning Rujie Zhong, Duohan Zhang, Lukas Schäfer, Stefano Albrecht, Josiah Hanna

ICMLW 2021 Decoupling Exploration and Exploitation in Reinforcement Learning Lukas Schäfer, Filippos Christianos, Josiah Hanna, Stefano V Albrecht

NeurIPS 2020 An Imitation from Observation Approach to Transfer Learning with Dynamics Mismatch Siddharth Desai, Ishan Durugkar, Haresh Karnan, Garrett Warnell, Josiah Hanna, Peter Stone

ICML 2020 Reducing Sampling Error in Batch Temporal Difference Learning Brahma Pavse, Ishan Durugkar, Josiah Hanna, Peter Stone

ICML 2019 Importance Sampling Policy Evaluation with an Estimated Behavior Policy Josiah Hanna, Scott Niekum, Peter Stone

UAI 2013 Approximation of Lorenz-Optimal Solutions in Multiobjective Markov Decision Processes Patrice Perny, Paul Weng, Judy Goldsmith, Josiah Hanna