Daley, Brett

6 publications

ICML 2024 Averaging $n$-Step Returns Reduces Variance in Reinforcement Learning Brett Daley, Martha White, Marlos C. Machado

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

ICML 2023 Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning Brett Daley, Martha White, Christopher Amato, Marlos C. Machado

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

CoRL 2020 Belief-Grounded Networks for Accelerated Robot Learning Under Partial Observability Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt

NeurIPS 2019 Reconciling Λ-Returns with Experience Replay Brett Daley, Christopher Amato