Hierarchical Representation Learning for Markov Decision Processes.
Lorenzo SteccanellaSimone TotaroAnders JonssonPublished in: CoLLAs (2023)
Keyphrases
- markov decision processes
- hierarchical representation
- reinforcement learning
- model based reinforcement learning
- learning algorithm
- stochastic games
- state space
- partially observable
- reachability analysis
- supervised learning
- optimal policy
- finite state
- real time dynamic programming
- risk sensitive
- markov decision problems
- policy iteration
- infinite horizon
- learning tasks
- linear programming
- multiresolution
- optimal solution
- image processing