← Authors

Thore Graepel

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

Achievements

🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🌈 Renaissance Researcher (5) πŸƒ Academic Marathon (21) πŸŒ‰ Interdisciplinary Bridge 🐝 Cross-Pollinator (15) πŸ—ΊοΈ Taxonomy Completionist (11) 🧭 Keyword Pioneer 🌟 Keyword Trendsetter Combo (8) πŸ‘‘ Triple Crown 🌱 Topic Pioneer 🧬 Topic Evolution πŸ† Keyword Champion πŸ“ˆ Trend Setter πŸš€ Conference Pioneer πŸ—ƒοΈ Keyword Collector (107) ⚑ Prolific Year (5) πŸ’Ž Century Club (27) πŸ”₯ 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 PΓ©rolat (6) Ian Gemp (5) David Balduzzi (5) Marc Lanctot (4) Yoram Bachrach (4) Vinicius Zambaldi (3) JΓ‘nos KramΓ‘r (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
TrueSkillβ„’: 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