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Gregory Farquhar — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Gregory Farquhar
15
papers ·
1933
citations ·
16
h-index
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Most-cited papers
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
Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning
2020 · 114 citations
Multi-Agent Common Knowledge Reinforcement Learning
2018 · 51 citations
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
2017 · 28 citations
Transient Non-Stationarity and Generalisation in Deep Reinforcement Learning
2020 · 11 citations
PsiPhi-Learning: Reinforcement Learning with Demonstrations using Successor Features and Inverse Temporal Difference Learning
2021 · 5 citations
Loaded DiCE: Trading off Bias and Variance in Any-Order Score Function Estimators for Reinforcement Learning
2019 · 4 citations
Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
2023 · 3 citations
Growing Action Spaces
2019
Proper Value Equivalence
2021
Self-Consistent Models and Values
2021
An Investigation of the Bias-Variance Tradeoff in Meta-Gradients
2022
Top co-authors
Shimon Whiteson
· 12
Jakob Foerster
· 6
Tabish Rashid
· 3
Angelos Filos
· 2
David Silver
· 2
Maximilian Igl
· 2
Mikayel Samvelyan
· 2
Nantas Nardelli
· 2
Philip H. S. Torr
· 2
Risto Vuorio
· 2
Triantafyllos Afouras
· 2
Wendelin Boehmer
· 2
Topics
Multi-Agent
Value-Based
Game AI
Policy Gradient
Meta-RL
Model-Based RL
Exploration
Offline RL