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Jakub Grudzien Kuba — most-cited papers & profile · Reinforcement Learning
← authors
·
overview
Jakub Grudzien Kuba
13
papers ·
264
citations ·
8
h-index
University of California, Berkeley
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning
2021 · 83 citations
Multi-Agent Reinforcement Learning is a Sequence Modeling Problem
2022 · 79 citations
Settling the Variance of Multi-Agent Policy Gradients
2021 · 24 citations
Heterogeneous-Agent Reinforcement Learning
2023 · 22 citations
Multi-Agent Constrained Policy Optimisation
2021 · 16 citations
Discovered Policy Optimisation
2022 · 16 citations
IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies
2023 · 9 citations
Heterogeneous-Agent Mirror Learning: A Continuum of Solutions to Cooperative MARL
2022 · 8 citations
Mirror Learning: A Unifying Framework of Policy Optimisation
2022 · 6 citations
Understanding Value Decomposition Algorithms in Deep Cooperative Multi-Agent Reinforcement Learning
2022 · 1 citations
Language Self-Play For Data-Free Training
2025
Top co-authors
Yaodong Yang
· 6
Jun Wang
· 5
Muning Wen
· 3
Christian Schroeder de Witt
· 2
Jakob Foerster
· 2
Ruiqing Chen
· 2
Shangding Gu
· 2
Alistair Letcher
· 1
Alois Knoll
· 1
and Yaodong Yang
· 1
Chris Lu
· 1
David Henry Mguni
· 1
Topics
Multi-Agent
Policy Gradient
Game AI
Value-Based
Exploration
Meta-RL
Model-Based RL
Safe RL
Offline RL