A Theoretical Connection Between Statistical Physics and Reinforcement Learning. - Jad Rahme; Ryan P. Adams (CoRR, 2019)

A Permutation-Equivariant Neural Network Architecture For Auction Design. - Jad Rahme; Samy Jelassi; Joan Bruna; S. Matthew Weinberg (AAAI, 2021)

Auction Learning as a Two-Player Game. - Jad Rahme; Samy Jelassi; S. Matthew Weinberg (ICLR, 2021)

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability. - Dibya Ghosh; Jad Rahme; Aviral Kumar; Amy Zhang 001; Ryan P. Adams; Sergey Levine (NeurIPS, 2021)

Learning Algorithms for Intelligent Agents and Mechanisms. - Jad Rahme (CoRR, 2022)