Karl Tuyls
24 papers · 2008–2024 · 5 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (16) π Conference Polyglot (5) π Interdisciplinary Bridge π§ Keyword Pioneer π£ Hot Topic Early Bird
π
Cross-Pollinator
(11)
π
Conference Polyglot
(5)
π
Academic Marathon
(16)
π
Triple Crown
π₯
Mega-Team
(27)
π¬
Deep Specialist
(10)
π§¬
Topic Evolution
π
Conference Pioneer
β‘
Prolific Year
(7)
π
Trend Setter
ποΈ
Keyword Collector
(78)
π₯
Unstoppable
(8)
π
Century Club
(24)
Conferences
NIPS (8)
ICML (5)
ICLR (4)
JMLR (4)
IJCAI (3)
Top co-authors
Keywords
game theory
(8)
nash equilibrium
(8)
multi-agent system
(5)
zero-sum game
(5)
multi-agent reinforcement learning
(4)
policy optimization
(3)
gradient descent
(2)
correlated equilibrium
(2)
symplectic gradient adjustment
(2)
differentiable game
(2)
multi-agent learning
(2)
imperfect information
(2)
generative adversarial network
(2)
hamiltonian game
(2)
distributional reinforcement learning
(1)
evaluation methodology
(1)
transfer learning
(1)
sample complexity
(1)
convergence analysis
(1)
reinforcement learning
(1)
Papers
Towards a Pretrained Model for Restless Bandits via Multi-arm Generalization
IJCAI 2024
An Analysis of Quantile Temporal-Difference Learning
JMLR 2024
Human-Timescale Adaptation in an Open-Ended Task Space
ICML 2023
Turbocharging Solution Concepts: Solving NEs, CEs and CCEs with Neural Equilibrium Solvers
NIPS 2022
Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers
ICML 2021
From PoincarΓ© Recurrence to Convergence in Imperfect Information Games: Finding Equilibrium via Regularization
ICML 2021
Fast computation of Nash Equilibria in Imperfect Information Games
ICML 2020
Real World Games Look Like Spinning Tops
NIPS 2020
A Generalized Training Approach for Multiagent Learning
ICLR 2020
Multiagent Evaluation under Incomplete Information
NIPS 2019
Deep reinforcement learning with relational inductive biases
ICLR 2019
Differentiable Game Mechanics
JMLR 2019
Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent
IJCAI 2019
The Mechanics of n-Player Differentiable Games
ICML 2018
Inequity aversion improves cooperation in intertemporal social dilemmas
NIPS 2018
Re-evaluating evaluation
NIPS 2018
Actor-Critic Policy Optimization in Partially Observable Multiagent Environments
NIPS 2018
Emergent Communication through Negotiation
ICLR 2018
Emergence of Linguistic Communication from Referential Games with Symbolic and Pixel Input
ICLR 2018
Experience Selection in Deep Reinforcement Learning for Control
JMLR 2018
A Unified Game-Theoretic Approach to Multiagent Reinforcement Learning
NIPS 2017
A multi-agent reinforcement learning model of common-pool resource appropriation
NIPS 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