Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game.
Guiliang LiuYudong LuoOliver SchultePascal PoupartPublished in: NeurIPS (2022)
Keyphrases
- risk sensitive
- reinforcement learning
- optimal control
- markov decision processes
- model free
- game play
- utility function
- expected utility
- machine learning
- function approximation
- human players
- repeated games
- computer games
- video games
- finite state
- dynamic programming
- reinforcement learning algorithms
- learning algorithm
- game theory
- infinite horizon
- supervised learning
- multi objective
- control policies
- decision making