An Agent Reinforcement Learning Model Based on Neural Networks.
Lianggui TangBo AnDaijie ChengPublished in: LSMS (1) (2007)
Keyphrases
- reinforcement learning
- neural network
- multi agent
- learning capabilities
- model free
- action selection
- learning agent
- function approximation
- multi agent systems
- partially observable
- state abstraction
- multiagent systems
- function approximators
- intelligent agents
- learning agents
- agent receives
- autonomous learning
- genetic algorithm
- markov decision process
- autonomous agents
- state space
- fuzzy logic
- reward function
- artificial neural networks
- state action
- agent technology
- exploration strategy
- multi agent environments
- reinforcement learning agents
- reward shaping
- agent model
- single agent
- optimal policy
- mobile agents
- back propagation
- agent systems
- learning process
- cooperative
- pattern recognition
- markov decision processes
- decision making
- robocup soccer
- learning algorithm
- temporal difference
- multiple agents
- learning classifier systems
- fuzzy neural network
- neural nets
- recurrent neural networks
- software agents
- dynamic environments
- reinforcement learning algorithms
- control policy
- decision theoretic
- fuzzy systems
- optimal control
- multiagent reinforcement learning
- agent learns
- fault diagnosis