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Tabish Rashid — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Tabish Rashid
11
papers ·
1336
citations
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
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
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
MAVEN: Multi-Agent Variational Exploration
2019 · 76 citations
Regularized Softmax Deep Multi-Agent $Q$-Learning
2021 · 16 citations
Exploration with Unreliable Intrinsic Reward in Multi-Agent Reinforcement Learning
2019 · 15 citations
Optimistic Exploration even with a Pessimistic Initialisation
2020 · 13 citations
Aligning Agents like Large Language Models
2024
Top co-authors
Shimon Whiteson
· 8
Bei Peng
· 3
Gregory Farquhar
· 3
Mikayel Samvelyan
· 3
Wendelin B\"ohmer
· 3
Jakob Foerster
· 2
Adam Jelley
· 1
Amos Storkey
· 1
Anuj Mahajan
· 1
Bei Peng
· 1
Christian A. Schroeder de Witt
· 1
Christian Schroeder de Witt
· 1
Topics
Value-Based
Multi-Agent
Game AI
Exploration
RLHF & Alignment
Model-Based RL
Policy Gradient