Peter Sunehag

Publications by Year

Research Areas

Reinforcement Learning in Robotics, Computability, Logic, AI Algorithms, Machine Learning and Algorithms, Evolutionary Algorithms and Applications, Advanced Bandit Algorithms Research

Most-Cited Works

• → Value-Decomposition Networks For Cooperative Multi-Agent Learning Based On Team Reward(2018)488 cited
• Reinforcement Learning in Large Discrete Action Spaces.(2015)
• → Deep Reinforcement Learning in Large Discrete Action Spaces(2015)265 cited
• → Wearable sensor activity analysis using semi-Markov models with a grammar(2010)34 cited
• → The Sample-Complexity of General Reinforcement Learning(2013)33 cited
• → Deep Reinforcement Learning with Attention for Slate Markov Decision Processes with High-Dimensional States and Actions(2015)32 cited
• → Scalable Evaluation of Multi-Agent Reinforcement Learning with Melting Pot(2021)23 cited
• → Variable Metric Stochastic Approximation Theory(2009)17 cited
• → (Non-)Equivalence of Universal Priors(2013)17 cited
• → Learning to Incentivize Other Learning Agents(2020)17 cited