Reinforcement Learning for Agents with Many Sensors and Actuators Acting in Categorizable Environments.
Josep M. PortaEnric CelayaPublished in: J. Artif. Intell. Res. (2005)
Keyphrases
- reinforcement learning
- multi agent environments
- multi agent
- learning agents
- multi agent systems
- dynamic environments
- single agent
- autonomous agents
- action selection
- highly dynamic
- multi agent reinforcement learning
- multiagent systems
- complex environments
- cooperative
- multiple agents
- reinforcement learning agents
- real time
- agent receives
- open systems
- learning agent
- robocup soccer
- software agents
- function approximation
- intelligent agents
- evolutionary learning
- agent systems
- agent architecture
- partial observability
- control system
- learning algorithm
- physical world
- real world
- reinforcement learning algorithms
- everyday objects
- mobile sensor
- multi sensor
- degrees of freedom
- sensor networks
- state space
- machine learning
- learning capabilities
- markov decision processes
- resource allocation
- data fusion
- mathematical model
- multiagent learning
- open environments
- multiagent reinforcement learning
- low cost sensors
- decentralized control
- artificial agents
- real robot
- complex domains
- decision theoretic
- coalition formation
- agent technology
- robotic systems
- sensor data