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Shimon Whiteson — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Shimon Whiteson
87
papers ·
4244
citations ·
51
h-index
University of Oxford
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Learning to Communicate with Deep Multi-Agent Reinforcement Learning
2016 · 871 citations
Counterfactual Multi-Agent Policy Gradients
2017 · 478 citations
QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
2018 · 475 citations
Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
2020 · 429 citations
Stabilising Experience Replay for Deep Multi-Agent Reinforcement Learning
2017 · 335 citations
Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?
2020 · 185 citations
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
Multi-Objective Deep Reinforcement Learning
2016 · 93 citations
MAVEN: Multi-Agent Variational Exploration
2019 · 76 citations
VariBAD: A Very Good Method for Bayes-Adaptive Deep RL via Meta-Learning
2019 · 65 citations
Multi-Agent Common Knowledge Reinforcement Learning
2018 · 51 citations
Bayesian Action Decoder for Deep Multi-Agent Reinforcement Learning
2018 · 50 citations
A Tutorial on Meta-Reinforcement Learning
2023 · 49 citations
Deep Coordination Graphs
2019 · 43 citations
Top co-authors
Gregory Farquhar
· 12
Shangtong Zhang
· 11
Jakob Foerster
· 9
Tabish Rashid
· 8
Jacob Beck
· 7
Jakob Nicolaus Foerster
· 7
Risto Vuorio
· 7
Anuj Mahajan
· 6
Bei Peng
· 6
Christian Schroeder de Witt
· 6
Matthew Thomas Jackson
· 6
Maximilian Igl
· 6
Topics
Value-Based
Policy Gradient
Multi-Agent
Exploration
Meta-RL
Game AI
Model-Based RL
Offline RL
Safe RL
RLHF & Alignment