Baisero, Andrea

7 publications

TMLR 2025 Leveraging Fully-Observable Solutions for Improved Partially-Observable Offline Reinforcement Learning Chulabhaya Wijesundara, Andrea Baisero, Gregory David Castanon, Alan S Carlin, Robert Platt, Christopher Amato

CoRL 2023 Equivariant Reinforcement Learning Under Partial Observability Hai Huu Nguyen, Andrea Baisero, David Klee, Dian Wang, Robert Platt, Christopher Amato

JAIR 2023 On Centralized Critics in Multi-Agent Reinforcement Learning Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato

AAAI 2022 A Deeper Understanding of State-Based Critics in Multi-Agent Reinforcement Learning Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Christopher Amato

UAI 2022 Asymmetric DQN for Partially Observable Reinforcement Learning Andrea Baisero, Brett Daley, Christopher Amato

CoRL 2022 Leveraging Fully Observable Policies for Learning Under Partial Observability Hai Huu Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt

IJCAI 2021 Reconciling Rewards with Predictive State Representations Andrea Baisero, Christopher Amato