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Journal Articles
- 2023
[j1]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato:
On Centralized Critics in Multi-Agent Reinforcement Learning. J. Artif. Intell. Res. 77: 295-354 (2023)
Conference and Workshop Papers
- 2024
- [c8]Brett Daley, Martha White, Marlos C. Machado:
Averaging n-step Returns Reduces Variance in Reinforcement Learning. ICML 2024 - 2023
- [c7]Brett Daley, Martha White, Christopher Amato, Marlos C. Machado:
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. ICML 2023: 6818-6835 - 2022
- [c6]Andrea Baisero, Brett Daley, Christopher Amato:
Asymmetric DQN for partially observable reinforcement learning. UAI 2022: 107-117 - 2021
- [c5]Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato:
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. AAMAS 2021: 844-852 - [c4]Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. AAMAS 2021: 1486-1488 - 2020
- [c3]Hai Nguyen, Brett Daley, Xinchao Song
, Christopher Amato, Robert Platt:
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRL 2020: 1640-1653 - 2019
- [c2]Brett Daley, Christopher Amato:
Reconciling λ-Returns with Experience Replay. NeurIPS 2019: 1131-1140 - 2015
- [c1]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: 253-264
Informal and Other Publications
- 2024
- [i14]Brett Daley, Martha White, Marlos C. Machado:
Compound Returns Reduce Variance in Reinforcement Learning. CoRR abs/2402.03903 (2024) - [i13]Brett Daley, Marlos C. Machado, Martha White:
Demystifying the Recency Heuristic in Temporal-Difference Learning. CoRR abs/2406.12284 (2024) - [i12]Xueguang Lyu, Andrea Baisero, Yuchen Xiao, Brett Daley, Christopher Amato:
On Centralized Critics in Multi-Agent Reinforcement Learning. CoRR abs/2408.14597 (2024) - 2023
- [i11]Brett Daley, Martha White, Christopher Amato, Marlos C. Machado:
Trajectory-Aware Eligibility Traces for Off-Policy Reinforcement Learning. CoRR abs/2301.11321 (2023) - 2022
- [i10]Brett Daley, Isaac Chan:
Adaptive Tree Backup Algorithms for Temporal-Difference Reinforcement Learning. CoRR abs/2206.01896 (2022) - 2021
- [i9]Xueguang Lyu, Yuchen Xiao, Brett Daley, Christopher Amato:
Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning. CoRR abs/2102.04402 (2021) - [i8]Brett Daley, Cameron Hickert, Christopher Amato:
Stratified Experience Replay: Correcting Multiplicity Bias in Off-Policy Reinforcement Learning. CoRR abs/2102.11319 (2021) - [i7]Brett Daley, Christopher Amato:
Investigating Alternatives to the Root Mean Square for Adaptive Gradient Methods. CoRR abs/2106.05449 (2021) - [i6]Brett Daley, Christopher Amato:
Human-Level Control without Server-Grade Hardware. CoRR abs/2111.01264 (2021) - [i5]Brett Daley, Christopher Amato:
Virtual Replay Cache. CoRR abs/2112.03421 (2021) - [i4]Brett Daley, Christopher Amato:
Improving the Efficiency of Off-Policy Reinforcement Learning by Accounting for Past Decisions. CoRR abs/2112.12281 (2021) - 2020
- [i3]Brett Daley, Christopher Amato:
Expectigrad: Fast Stochastic Optimization with Robust Convergence Properties. CoRR abs/2010.01356 (2020) - [i2]Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt:
Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. CoRR abs/2010.09170 (2020) - 2018
- [i1]Brett Daley, Christopher Amato:
Efficient Eligibility Traces for Deep Reinforcement Learning. CoRR abs/1810.09967 (2018)
Coauthor Index
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