Select Publications

Moskovitz T, Singh A, Strouse D, Sandholm T, Salakhutdinov R, Dragan A, McAleer S (2024). Confronting Reward Model Overoptimization with Constrained RLHF. International Conference on Learning Representations (ICLR) (Spotlight, Top 5% of Submissions)
paper | code

Moskovitz T, O'Donoghue B, Veeriah V, Flennerhag S, Singh S, Zahavy T (2023). ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs. International Conference on Machine Learning (ICML). paper | website

Moskovitz T, Arbel M, Parker-Holder J, Pacchiano A (2022). Towards an Understanding of Default Policies in Multitask Policy Optimization. Conference on Artificial Intelligence and Statistics (AISTATS). (Best Paper Award Honorable Mention)
paper

Moskovitz T, Wilson SR, Sahani M (2022). A First-Occupancy Representation for Reinforcement Learning. International Conference on Learning Representations (ICLR).
paper | code | talk at Cosyne

Moskovitz T, Parker-Holder J, Pacchiano A, Arbel M, Jordan MI (2021). Tactical Optimism and Pessimism for Deep Reinforcement Learning. Neural Information Processing Systems (NeurIPS).
paper | code