Explicit Manifold Representations for Value-Function Approximation in Reinforcement Learning.
William D. SmartPublished in: AI&M (2004)
Keyphrases
- reinforcement learning
- temporal difference
- state space
- temporal difference learning
- function approximators
- approximate dynamic programming
- function approximation
- reinforcement learning algorithms
- markov games
- state action
- markov decision processes
- low dimensional
- manifold learning
- learning algorithm
- control problems
- optimal control
- high dimensional
- model free
- euclidean space
- basis functions
- robotic control
- fixed point
- policy iteration
- learning process
- multiple representations
- fisher information
- feature selection
- machine learning