-Based Learning of Markov Decision Processes.
Martin TapplerBernhard K. AichernigGiovanni BacciMaria EichlsederKim G. LarsenPublished in: FM (2019)
Keyphrases
- markov decision processes
- reinforcement learning
- stochastic games
- model based reinforcement learning
- state space
- transition matrices
- learning algorithm
- finite state
- partially observable
- state abstraction
- dynamic programming
- optimal policy
- function approximation
- average reward
- reachability analysis
- real time dynamic programming