Brett Daley

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Topics

Function Approximators

Reinforcement Learning

Eligibility Traces

Partially Observable

Top Venues

J. Artif. Intell. Res.

Publications

Brett Daley, Marlos C. Machado, Martha White
Demystifying the Recency Heuristic in Temporal-Difference Learning. CoRR (2024)
Brett Daley, Martha White, Marlos C. Machado
Compound Returns Reduce Variance in Reinforcement Learning. CoRR (2024)
Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. 77 (2023)
Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. CoRR (2023)
Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. ICML (2023)
Brett Daley, Isaac Chan
Adaptive Tree Backup Algorithms for Temporal-Difference Reinforcement Learning. CoRR (2022)
Andrea Baisero, Brett Daley, Christopher Amato
Asymmetric DQN for partially observable reinforcement learning. UAI (2022)
Brett Daley, Christopher Amato
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions. CoRR (2021)
Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. AAMAS (2021)
Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. CoRR (2021)
Brett Daley, Christopher Amato
Virtual Replay Cache. CoRR (2021)
Brett Daley, Christopher Amato
Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods. CoRR (2021)
Brett Daley, Christopher Amato
Human-Level Control without Server-Grade Hardware. CoRR (2021)
Brett Daley, Cameron Hickert, Christopher Amato
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. AAMAS (2021)
Brett Daley, Cameron Hickert, Christopher Amato
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. CoRR (2021)
Brett Daley, Christopher Amato
Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties. CoRR (2020)
Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRR (2020)
Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRL (2020)
Brett Daley, Christopher Amato
Reconciling λ-Returns with Experience Replay. NeurIPS (2019)
Brett Daley, Christopher Amato
Efficient Eligibility Traces for Deep Reinforcement Learning. CoRR (2018)
Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David R. Kaeli
NUPAR: A Benchmark Suite for Modern GPU Architectures. ICPE (2015)