Regularizing Reinforcement Learning with State Abstraction.
Riad AkrourFilipe VeigaJan PetersGerhard NeumannPublished in: IROS (2018)
Keyphrases
- state abstraction
- reinforcement learning
- state space
- reinforcement learning agents
- markov decision processes
- hierarchical reinforcement learning
- path finding
- reinforcement learning algorithms
- function approximation
- initial state
- supervised learning
- optimal policy
- temporal difference
- dynamic programming
- learning algorithm
- model free
- heuristic search
- planning problems
- dynamical systems
- transfer learning
- multi agent
- linear programming
- mobile robot