Associative Reinforcement Learning using Linear Probabilistic Concepts.
Naoki AbePhilip M. LongPublished in: ICML (1999)
Keyphrases
- reinforcement learning
- function approximation
- uncertain data
- function approximators
- state space
- model free
- closed form
- learning algorithm
- optimal control
- reinforcement learning algorithms
- temporal difference
- probabilistic reasoning
- concept learning
- probabilistic model
- data driven
- dynamic programming
- context sensitive
- information theoretic
- background knowledge
- sufficient conditions
- probabilistic logic
- markov decision process
- learning process
- probabilistic knowledge
- boolean expressions