Brett Daley - RankMe

26 papers A* 3A 3B 1Misc 1Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	An Analysis of Action-Value Temporal-Difference Methods That Learn State Values. CoRR Brett Daley, Prabhat Nagarajan, Martha White, Marlos C. Machado
2025	J	`jnl`	Deep Reinforcement Learning with Gradient Eligibility Traces. CoRR Esraa Elelimy, Brett Daley, Andrew Patterson, Marlos C. Machado, Adam White, Martha White
2024	A*	`conf`	Averaging n-step Returns Reduces Variance in Reinforcement Learning. ICML Brett Daley, Martha White, Marlos C. Machado
2024	J	`jnl`	Compound Returns Reduce Variance in Reinforcement Learning. CoRR Brett Daley, Martha White, Marlos C. Machado
2024	J	`jnl`	Demystifying the Recency Heuristic in Temporal-Difference Learning. RLJ Brett Daley, Marlos C. Machado, Martha White
2024	J	`jnl`	Demystifying the Recency Heuristic in Temporal-Difference Learning. CoRR Brett Daley, Marlos C. Machado, Martha White
2024	J	`jnl`	On Centralized Critics in Multi-Agent Reinforcement Learning. CoRR Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2023	J	`jnl`	On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato
2023	A*	`conf`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. ICML Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2023	J	`jnl`	Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. CoRR Brett Daley, Martha White, Christopher Amato, Marlos C. Machado
2022	J	`jnl`	Adaptive Tree Backup Algorithms for Temporal-Difference Reinforcement Learning. CoRR Brett Daley, Isaac Chan
2022	A	`conf`	Asymmetric DQN for partially observable reinforcement learning. UAI Andrea Baisero, Brett Daley, Christopher Amato
2021	A	`conf`	Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. AAMAS Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
2021	J	`jnl`	Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. CoRR Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato
2021	J	`jnl`	Human-Level Control without Server-Grade Hardware. CoRR Brett Daley, Christopher Amato
2021	J	`jnl`	Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions. CoRR Brett Daley, Christopher Amato
2021	J	`jnl`	Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods. CoRR Brett Daley, Christopher Amato
2021	A	`conf`	Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. AAMAS Brett Daley, Cameron Hickert, Christopher Amato
2021	J	`jnl`	Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. CoRR Brett Daley, Cameron Hickert, Christopher Amato
2021	J	`jnl`	Virtual Replay Cache. CoRR Brett Daley, Christopher Amato
2020	Misc	`conf`	Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRL Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
2020	J	`jnl`	Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRR Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
2020	J	`jnl`	Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties. CoRR Brett Daley, Christopher Amato
2019	A*	`conf`	Reconciling λ-Returns with Experience Replay. NeurIPS Brett Daley, Christopher Amato
2018	J	`jnl`	Efficient Eligibility Traces for Deep Reinforcement Learning. CoRR Brett Daley, Christopher Amato
2015	B	`conf`	NUPAR: A Benchmark Suite for Modern GPU Architectures. ICPE Yash Ukidave, Fanny Nina Paravecino, Leiming Yu, Charu Kalra, Amir Momeni, Zhongliang Chen, Nick Materise, Brett Daley, Perhaad Mistry, David R. Kaeli