Voloshin, Cameron

5 publications

TMLR 2025 LTL-Constrained Policy Optimization with Cycle Experience Replay Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia

ICML 2023 Eventual Discounting Temporal Logic Counterfactual Experience Replay Cameron Voloshin, Abhinav Verma, Yisong Yue

NeurIPS 2022 Policy Optimization with Linear Temporal Logic Constraints Cameron Voloshin, Hoang Le, Swarat Chaudhuri, Yisong Yue

AISTATS 2021 Minimax Model Learning Cameron Voloshin, Nan Jiang, Yisong Yue

ICML 2019 Batch Policy Learning Under Constraints Hoang Le, Cameron Voloshin, Yisong Yue