Karl Tuyls
24 papers · 2008–2024 · 5 venues · across top CS/AI venues
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Full 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Deep Specialist
(12)
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Mega-Team · Squad
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Topic Evolution
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Triple Crown
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Conference Pioneer
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Unstoppable · Bronze
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Prolific Year · Productive
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Century Club · Bronze
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Trend Setter
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Keyword Collector
(91)
Venues
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Research topics
Artificial Intelligence
(16)
Core AI
(16)
Reinforcement Learning
(15)
Methods
(14)
Machine Learning
(12)
Optimization & Theory
(9)
Applications
(8)
Learning Types · Machine Learning
(8)
Deep Learning
(4)
Mathematics & Optimization
(4)
Optimization
(4)
Learning Types · Deep Learning
(3)
Architectures
(2)
Core Methods
(1)
Learning Paradigms
(1)
Keywords
nash equilibrium
(9)
game theory
(9)
multi-agent system
(6)
multi-agent reinforcement learning
(5)
zero-sum game
(5)
multi-agent learning
(4)
policy optimization
(3)
extensive-form game
(2)
symplectic gradient adjustment
(2)
hamiltonian game
(2)
correlated equilibrium
(2)
generative adversarial network
(2)
reinforcement learning
(2)
differentiable game
(2)
imperfect information
(2)
gradient descent
(2)
emergent communication
(2)
distributional reinforcement learning
(1)
evaluation methodology
(1)
sample complexity
(1)
Papers
An Analysis of Quantile Temporal-Difference Learning
JMLR 2024
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
IJCAI 2024
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NeurIPS 2022
From Poincaré Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
ICML 2021
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
ICML 2021
A Generalized Training Approach for Multiagent Learning
ICLR 2020
Fast computation of Nash Equilibria in Imperfect Information Games
ICML 2020
Real World Games Look Like Spinning Tops
NeurIPS 2020
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
IJCAI 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Differentiable Game Mechanics
JMLR 2019
Multiagent Evaluation under Incomplete Information
NeurIPS 2019
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
NeurIPS 2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
ICLR 2018
Emergent Communication through Negotiation
ICLR 2018
Experience Selection in Deep Reinforcement Learning for Control
JMLR 2018
Inequity aversion improves cooperation in intertemporal social dilemmas
NeurIPS 2018
Re-evaluating evaluation
NeurIPS 2018
The Mechanics of n-Player Differentiable Games
ICML 2018
A multi-agent reinforcement learning model of common-pool resource appropriation
NeurIPS 2017
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
NeurIPS 2017
Conditional Restricted Boltzmann Machines for Negotiations in Highly Competitive and Complex Domains
IJCAI 2013
Theoretical Advantages of Lenient Learners: An Evolutionary Game Theoretic Perspective
JMLR 2008