Cameron Voloshin

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Satisfiability Problem

Reinforcement Learning

Top Venues

NeurIPS Datasets and Benchmarks

Publications

Ameesh Shah, Cameron Voloshin, Chenxi Yang, Abhinav Verma, Swarat Chaudhuri, Sanjit A. Seshia
Deep Policy Optimization with Temporal Logic Constraints. CoRR (2024)
Cameron Voloshin, Abhinav Verma, Yisong Yue
Eventual Discounting Temporal Logic Counterfactual Experience Replay. ICML (2023)
Cameron Voloshin, Abhinav Verma, Yisong Yue
Eventual Discounting Temporal Logic Counterfactual Experience Replay. CoRR (2023)
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
Policy Optimization with Linear Temporal Logic Constraints. CoRR (2022)
Cameron Voloshin, Hoang Minh Le, Swarat Chaudhuri, Yisong Yue
Policy Optimization with Linear Temporal Logic Constraints. NeurIPS (2022)
Cameron Voloshin, Nan Jiang, Yisong Yue
Minimax Model Learning. CoRR (2021)
Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. NeurIPS Datasets and Benchmarks (2021)
Cameron Voloshin, Nan Jiang, Yisong Yue
Minimax Model Learning. AISTATS (2021)
Hoang Minh Le, Cameron Voloshin, Yisong Yue
Batch Policy Learning under Constraints. CoRR (2019)
Hoang Minh Le, Cameron Voloshin, Yisong Yue
Batch Policy Learning under Constraints. ICML (2019)
Cameron Voloshin, Hoang Minh Le, Nan Jiang, Yisong Yue
Empirical Study of Off-Policy Policy Evaluation for Reinforcement Learning. CoRR (2019)