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Karl Tuyls

24 papers · 2008–2024 · 5 conferences · across top CS/AI conferences

Achievements

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+13 more ↓ πŸƒ Academic Marathon (16) 🌍 Conference Polyglot (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird
🐝 Cross-Pollinator (11) 🌍 Conference Polyglot (5) πŸƒ Academic Marathon (16) πŸ‘‘ Triple Crown πŸ‘₯ Mega-Team (27) πŸ”¬ Deep Specialist (10) 🧬 Topic Evolution πŸš€ Conference Pioneer ⚑ Prolific Year (7) πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (78) πŸ”₯ Unstoppable (8) πŸ’Ž Century Club (24)

Conferences

NIPS (8) ICML (5) ICLR (4) JMLR (4) IJCAI (3)

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