Thore Graepel

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

Achievements

+14 more ↓

🐣 Hot Topic Early Bird 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🌍 Conference Polyglot (6)

🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (8) 👑 Triple Crown 🌱 Topic Pioneer 🧬 Topic Evolution 🏆 Keyword Champion 📈 Trend Setter 🚀 Conference Pioneer 🗃️ Keyword Collector (107) ⚡ Prolific Year (5) 💎 Century Club (27) 🔥 Unstoppable (6)

Conferences

NIPS (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)

Keywords

multi-agent reinforcement learning (5) multi-agent system (4) game theory (3) probabilistic modeling (3) expectation propagation (3) bayesian inference (3) nash equilibrium (2) symplectic gradient adjustment (2) hamiltonian game (2) differentiable game (2) generative adversarial network (2) social dilemma (2) skill rating (2) message passing (2) gradient descent (2) factor graph (2) agent communication (1) continuous optimization (1) policy optimization (1) evaluation methodology (1)

Papers

NeuPL: Neural Population Learning ICLR 2022 EigenGame Unloaded: When playing games is better than optimizing ICLR 2022 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 EigenGame: PCA as a Nash Equilibrium ICLR 2021 Multi-Agent Training beyond Zero-Sum with Correlated Equilibrium Meta-Solvers ICML 2021 A Neural Network Auction For Group Decision Making Over a Continuous Space IJCAI 2021 A Generalized Training Approach for Multiagent Learning ICLR 2020 Learning to Play No-Press Diplomacy with Best Response Policy Iteration NIPS 2020 Smooth markets: A basic mechanism for organizing gradient-based learners ICLR 2020 Differentiable Game Mechanics JMLR 2019 Biases for Emergent Communication in Multi-agent Reinforcement Learning NIPS 2019 Emergent Coordination Through Competition ICLR 2019 Relational Forward Models for Multi-Agent Learning ICLR 2019 Open-ended learning in symmetric zero-sum games ICML 2019 Re-evaluating evaluation NIPS 2018 Inequity aversion improves cooperation in intertemporal social dilemmas NIPS 2018 The Mechanics of n-Player Differentiable Games ICML 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 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 NIPS 2007 TrueSkill™: A Bayesian Skill Rating System NIPS 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