Adaptive State Space Formation in Reinforcement Learning.
Kazuyuki SamejimaTakashi OmoriPublished in: ICONIP (1998)
Keyphrases
- state space
- reinforcement learning
- reinforcement learning algorithms
- markov decision processes
- optimal policy
- adaptive control
- heuristic search
- action space
- continuous state spaces
- dynamic programming
- partially observable
- state variables
- markov decision process
- learning capabilities
- transfer learning
- dynamical systems
- control problems
- actor critic
- function approximation
- model free
- machine learning
- state abstraction
- planning problems
- search space
- multi agent
- temporal difference
- finite state
- sufficient conditions
- markov chain
- learning agent
- learning algorithm
- neural network
- policy search
- state and action spaces