Cameron Voloshin

12 papers A* 3A 1Journal 7Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	LTL-Constrained Policy Optimization with Cycle Experience Replay. Trans. Mach. Learn. Res. Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia
2024	J	`jnl`	Deep Policy Optimization with Temporal Logic Constraints. CoRR Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia
2023	A*	`conf`	Eventual Discounting Temporal Logic Counterfactual Experience Replay. ICML Cameron Voloshin, Abhinav Verma, Yisong Yue
2023	J	`jnl`	Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR Cameron Voloshin, Abhinav Verma, Yisong Yue
2022	A*	`conf`	Policy Optimization with Linear Temporal Logic Constraints. NeurIPS Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
2022	J	`jnl`	Policy Optimization with Linear Temporal Logic Constraints. CoRR Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
2021	—	`conf`	Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. NeurIPS Datasets and Benchmarks Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue
2021	A	`conf`	Minimax Model Learning. AISTATS Cameron Voloshin, Nan Jiang, Yisong Yue
2021	J	`jnl`	Minimax Model Learning. CoRR Cameron Voloshin, Nan Jiang, Yisong Yue
2019	A*	`conf`	Batch Policy Learning under Constraints. ICML Hoang Minh Le, Cameron Voloshin, Yisong Yue
2019	J	`jnl`	Batch Policy Learning under Constraints. CoRR Hoang Minh Le, Cameron Voloshin, Yisong Yue
2019	J	`jnl`	Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. CoRR Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue