Multi-agent Neural Reinforcement-Learning System with Communication.
David SimõesNuno LauLuís Paulo ReisPublished in: WorldCIST (2) (2019)
Keyphrases
- reinforcement learning
- multi agent
- agent communication
- fitted q iteration
- neural network
- multi agent environments
- cooperative
- network architecture
- model free
- learning agents
- intelligent agents
- distributed control
- function approximation
- reinforcement learning agents
- markov decision processes
- state space
- machine learning
- communication networks
- resolve conflicts
- multi agent reinforcement learning
- sensory inputs
- reinforcement learning methods
- optimal policy
- single agent
- bio inspired
- communication systems
- control policy
- communication overhead
- neural model
- reinforcement learning algorithms
- multiple agents
- learning rules
- multi agent systems
- agent based simulations
- traffic signal control
- biologically inspired