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Karl Tuyls โ most-cited papers & profile ยท Reinforcement Learning
โ authors
ยท
overview
Karl Tuyls
20
papers ยท
796
citations ยท
46
h-index
Google (United States) ยท University of Michigan ยท Google DeepMind (United Kingdom) ยท Google (United Kingdom)
Google Scholar โ
Semantic Scholar โ
OpenAlex โ
Most-cited papers
Relational Deep Reinforcement Learning
2018 ยท 160 citations
Mastering the Game of Stratego with Model-Free Multiagent Reinforcement Learning
2022 ยท 150 citations
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
2017 ยท 142 citations
OpenSpiel: A Framework for Reinforcement Learning in Games
2019 ยท 107 citations
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
2018 ยท 71 citations
A Multi-agent Reinforcement Learning Model Of Common-pool Resource Appropriation
2017 ยท 70 citations
Emergent Communication through Negotiation
2018 ยท 47 citations
Human-Timescale Adaptation in an Open-Ended Task Space
2023 ยท 22 citations
Neural Replicator Dynamics
2019 ยท 13 citations
Robust Temporal Difference Learning for Critical Domains
2019 ยท 4 citations
An Analysis of Quantile Temporal-Difference Learning
2023 ยท 3 citations
SCC-rFMQ Learning in Cooperative Markov Games with Continuous Actions
2018 ยท 2 citations
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
2023 ยท 1 citations
Using deep reinforcement learning to promote sustainable human behaviour on a common pool resource problem
2024 ยท 1 citations
Lenient Multi-Agent Deep Reinforcement Learning
2017
Top co-authors
Marc Lanctot
ยท 7
Julien Perolat
ยท 5
Vinicius Zambaldi
ยท 5
Shayegan Omidshafiei
ยท 4
Audrunas Gruslys
ยท 3
Daniel Hennes
ยท 3
Edward Hughes
ยท 3
Edward Lockhart
ยท 3
Jean-Baptiste Lespiau
ยท 3
Remi Munos
ยท 3
Thore Graepel
ยท 3
Angeliki Lazaridou
ยท 2
Topics
Multi-Agent
Game AI
Value-Based
Model-Based RL
Meta-RL
Policy Gradient
Exploration
Safe RL