Combining Exploitation-Based and Exploration-Based Approach in Reinforcement Learning.
Kazunori IwataNobuhiro ItoKoichiro YamauchiNaohiro IshiiPublished in: IDEAL (2000)
Keyphrases
- reinforcement learning
- exploration exploitation tradeoff
- active exploration
- function approximation
- exploration strategy
- action selection
- learning algorithm
- state space
- relevance feedback
- objective function
- machine learning
- model based reinforcement learning
- optimal control
- data mining
- radial basis function
- model free
- markov decision processes
- temporal difference
- reinforcement learning algorithms
- multi agent reinforcement learning
- supervised learning
- exploration exploitation
- information retrieval
- learning environment
- balancing exploration and exploitation
- multi agent