Function approximation based multi-agent reinforcement learning.
Osman AbulFaruk PolatReda AlhajjPublished in: ICTAI (2000)
Keyphrases
- function approximation
- multi agent reinforcement learning
- reinforcement learning
- multi agent
- learning agents
- temporal difference
- model free
- multi agent learning
- stochastic games
- temporal difference learning
- state space
- learning tasks
- learning process
- function approximators
- learning agent
- reinforcement learning algorithms
- radial basis function
- dynamic programming
- single agent
- multi agent systems
- machine learning
- support vector
- optimal policy
- data mining