State Abstraction in Reinforcement Learning by Eliminating Useless Dimensions.
Zhao ChengLaura E. RayPublished in: ICMLA (2014)
Keyphrases
- state abstraction
- reinforcement learning
- state space
- markov decision processes
- hierarchical reinforcement learning
- reinforcement learning agents
- reinforcement learning algorithms
- path finding
- function approximation
- optimal policy
- multi agent
- machine learning
- heuristic search
- optimal control
- initial state
- model free
- learning algorithm
- probability distribution
- constraint satisfaction problems
- dynamic programming