Reinforcement learning-based asymptotic cooperative tracking of a class multi-agent dynamic systems using neural networks.
Lili CuiXiaowei WangYong ZhangPublished in: Neurocomputing (2016)
Keyphrases
- dynamic systems
- multi agent
- cooperative
- reinforcement learning
- particle filter
- neural network
- complex systems
- discrete event
- consistency based diagnosis
- multi agent systems
- qualitative reasoning
- multi agent reinforcement learning
- state space
- dynamical systems
- artificial neural networks
- ordinary differential equations
- visual tracking
- particle filtering
- multiagent reinforcement learning
- function approximation
- reinforcement learning algorithms
- learning agents
- qualitative models
- linear time invariant
- model based diagnosis
- transfer learning
- state estimation
- function approximators
- state variables
- multi agent environments
- multiple agents
- model free
- learning classifier systems
- appearance model
- markov decision processes
- input pattern
- object tracking
- multiagent systems
- knowledge base
- machine learning