Sunehag, Peter

13 publications

ICML 2021 Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot Joel Z Leibo, Edgar A Dueñez-Guzman, Alexander Vezhnevets, John P Agapiou, Peter Sunehag, Raphael Koster, Jayd Matyas, Charlie Beattie, Igor Mordatch, Thore Graepel

NeurIPS 2020 Learning to Incentivize Other Learning Agents Jiachen Yang, Ang Li, Mehrdad Farajtabar, Peter Sunehag, Edward Hughes, Hongyuan Zha

JMLR 2015 Rationality, Optimism and Guarantees in General Reinforcement Learning Peter Sunehag, Marcus Hutter

ACML 2014 Reinforcement Learning with Value Advice Mayank Daswani, Peter Sunehag, Marcus Hutter

ALT 2013 Concentration and Confidence for Discrete Bayesian Sequence Predictors Tor Lattimore, Marcus Hutter, Peter Sunehag

ACML 2013 Q-Learning for History-Based Reinforcement Learning Mayank Daswani, Peter Sunehag, Marcus Hutter

ICML 2013 The Sample-Complexity of General Reinforcement Learning Tor Lattimore, Marcus Hutter, Peter Sunehag

AAAI 2012 Context Tree Maximizing Phuong Nguyen, Peter Sunehag, Marcus Hutter

ALT 2011 Axioms for Rational Reinforcement Learning Peter Sunehag, Marcus Hutter

ECML-PKDD 2011 Sparse Kernel-SARSA(λ) with an Eligibility Trace Matthew W. Robards, Peter Sunehag, Scott Sanner, Bhaskara Marthi

ALT 2010 Consistency of Feature Markov Processes Peter Sunehag, Marcus Hutter

AISTATS 2009 Variable Metric Stochastic Approximation Theory Peter Sunehag, Jochen Trumpf, S.V.N. Vishwanathan, Nicol Schraudolph

AISTATS 2007 Emerge and Spread Models and Word Burstiness Peter Sunehag