Thore Graepel

27 papers · 2001–2022 · 6 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+13 more ↓

🗺️ Taxonomy Completionist (32) 🏃 Academic Marathon · Ultra 🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🐣 Hot Topic Early Bird

🌱 Topic Pioneer 🌟 Keyword Trendsetter Combo (8) 👑 Triple Crown 🔬 Deep Specialist (10) 🧬 Topic Evolution 🏆 Keyword Champion 🧭 Keyword Pioneer 🔥 Unstoppable · Bronze ⚡ Prolific Year · Productive 🗃️ Keyword Collector (127) 💎 Century Club · Bronze 🚀 Conference Pioneer 📈 Trend Setter

Venues

NeurIPS (8) ICLR (7) ICML (4) JMLR (4) AISTATS (3) IJCAI (1)

Top co-authors

Karl Tuyls (8) Ralf Herbrich (7) Julien Pérolat (6) Ian Gemp (5) David Balduzzi (5) Marc Lanctot (4) Yoram Bachrach (4) Vinicius Zambaldi (3) János Kramár (3) Edward Hughes (3)

Research topics

Artificial Intelligence (19) Machine Learning (18) Core AI (17) Optimization & Theory (16) Reinforcement Learning (9) Learning Types · Machine Learning (9) Methods (8) Applications (5) Bayesian & Probabilistic · Artificial Intelligence (5) Deep Learning (4) Core Methods (4) Learning Types · Deep Learning (4) Mathematics & Optimization (3) Bayesian & Probabilistic · Machine Learning (2) Optimization (2)

Keywords

multi-agent system (7) game theory (6) multi-agent reinforcement learning (5) bayesian inference (3) nash equilibrium (3) probabilistic modeling (3) expectation propagation (3) message passing (3) gradient descent (3) hamiltonian game (2) reinforcement learning (2) fictitious play (2) population-based training (2) symplectic gradient adjustment (2) differentiable game (2) social dilemma (2) skill rating (2) zero-sum game (2) generative adversarial network (2) factor graph (2)

Papers

EigenGame Unloaded: When playing games is better than optimizing ICLR 2022 NeuPL: Neural Population Learning ICLR 2022 A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 A Generalized Training Approach for Multiagent Learning ICLR 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NeurIPS 2020 Smooth markets: A basic mechanism for organizing gradient-based learners ICLR 2020 Biases for Emergent Communication in Multi-agent Reinforcement Learning NeurIPS 2019 Differentiable Game Mechanics JMLR 2019 Emergent Coordination Through Competition ICLR 2019 Open-ended learning in symmetric zero-sum games ICML 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 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 Kernel Topic Models AISTATS 2012 Bayesian Online Learning for Multi-label and Multi-variate Performance Measures AISTATS 2010 Coherent Inference on Optimal Play in Game Trees AISTATS 2010 TrueSkill Through Time: Revisiting the History of Chess NeurIPS 2007 TrueSkill™: A Bayesian Skill Rating System NeurIPS 2006 Generalization Bounds for the Area Under the ROC Curve JMLR 2005 Introduction to the Special Issue on Learning Theory JMLR 2003 Bayes Point Machines JMLR 2001