Peter Sunehag

8 papers · 1999–2021 · 5 venues · across top CS/AI venues

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Achievements

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🌉 Interdisciplinary Bridge · Bronze 🏃 Academic Marathon · Ultra 🗺️ Taxonomy Completionist (11) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver

🚀 Conference Pioneer 📈 Trend Setter

Venues

ACML (2) AISTATS (2) ICML (2) JMLR (1) NeurIPS (1)

Top co-authors

Marcus Hutter (4) Mayank Daswani (2) Edgar A Dueñez-Guzman (1) Edward Hughes (1) Hongyuan Zha (1) Mehrdad Farajtabar (1) Alexander Vezhnevets (1) Jochen Trumpf (1) Tor Lattimore (1) Nicol Schraudolph (1)

Research topics

Machine Learning (4) Reinforcement Learning (4) Methods (4) Optimization & Theory (4) Artificial Intelligence (2) Core AI (2) Deep Learning (1) Applications (1) Learning Types · Deep Learning (1) Learning Types · Machine Learning (1)

Keywords

reinforcement learning (3) multi-agent reinforcement learning (2) sample complexity (1) policy learning (1) policy search (1) state representation (1) partial observability (1) hypothesis class (1) markov game (1) evaluation benchmark (1) reward shaping (1) social dilemma (1) agent cooperation (1) stochastic search (1) scenario generation (1) rationality axiom (1) finite-error bound (1) environment class (1) test scenario (1) learning theory (1)

Papers

Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot ICML 2021 Learning to Incentivize Other Learning Agents NeurIPS 2020 Rationality, Optimism and Guarantees in General Reinforcement Learning JMLR 2015 Reinforcement learning with value advice ACML 2014 Q-learning for history-based reinforcement learning ACML 2013 The Sample-Complexity of General Reinforcement Learning ICML 2013 Variable Metric Stochastic Approximation Theory AISTATS 2005 Emerge and spread models and word burstiness AISTATS 1999