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