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Bei Peng — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Bei Peng
11
papers ·
326
citations ·
12
h-index
University of Liverpool · Shaanxi University of Chinese Medicine
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Semantic Scholar ↗
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Most-cited papers
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
2020 · 114 citations
FACMAC: Factored Multi-Agent Centralised Policy Gradients
2020 · 106 citations
Randomized Entity-wise Factorization for Multi-Agent Reinforcement Learning
2020 · 15 citations
Optimistic Exploration even with a Pessimistic Initialisation
2020 · 13 citations
UneVEn: Universal Value Exploration for Multi-Agent Reinforcement Learning
2020 · 7 citations
Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients
2021 · 1 citations
SA-MATD3:Self-attention-based multi-agent continuous control method in cooperative environments
2021
Centralised rehearsal of decentralised cooperation: Multi-agent reinforcement learning for the scalable coordination of residential energy flexibility
2023
Top co-authors
Shimon Whiteson
· 6
Wendelin B\"ohmer
· 4
Tabish Rashid
· 3
Christian A. Schroeder de Witt
· 2
Anuj Mahajan
· 1
Bozhidar Vasilev
· 1
Fei Sha
· 1
Flora Charbonnier
· 1
Gang Wang
· 1
Gregory Farquhar
· 1
Kai Liu
· 1
Malcolm McCulloch
· 1
Topics
Value-Based
Multi-Agent
Game AI
Policy Gradient
Exploration
Meta-RL
Safe RL