Batch Policy Learning under Constraints. - Hoang Minh Le 002; Cameron Voloshin; Yisong Yue (ICML, 2019)

Minimax Model Learning. - Cameron Voloshin; Nan Jiang 008; Yisong Yue (AISTATS, 2021)

Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. - Cameron Voloshin; Hoang Minh Le 002; Nan Jiang 008; Yisong Yue (NeurIPS Datasets and Benchmarks, 2021)

Policy Optimization with Linear Temporal Logic Constraints. - Cameron Voloshin; Hoang Minh Le 002; Swarat Chaudhuri; Yisong Yue (NeurIPS, 2022)

Eventual Discounting Temporal Logic Counterfactual Experience Replay. - Cameron Voloshin; Abhinav Verma 001; Yisong Yue (ICML, 2023)

Deep Policy Optimization with Temporal Logic Constraints. - Ameesh Shah; Cameron Voloshin; Chenxi Yang; Abhinav Verma 001; Swarat Chaudhuri; Sanjit A. Seshia (CoRR, 2024)

LTL-Constrained Policy Optimization with Cycle Experience Replay. - Ameesh Shah; Cameron Voloshin; Chenxi Yang; Abhinav Verma 001; Swarat Chaudhuri; Sanjit A. Seshia (Trans. Mach. Learn. Res., 2025)