Reinforcement Learning for Agents with Many Sensors and Actuators Acting in Categorizable Environments
Enric CelayaJosep M. PortaPublished in: CoRR (2011)
Keyphrases
- reinforcement learning
- multi agent environments
- multi agent
- learning agents
- dynamic environments
- multi agent systems
- autonomous agents
- single agent
- intelligent agents
- multi agent reinforcement learning
- action selection
- highly dynamic
- multiagent systems
- reinforcement learning agents
- multiple agents
- complex environments
- agent receives
- cooperative
- sensor networks
- open systems
- mobile sensor
- artificial agents
- software agents
- open environments
- real time
- multiagent learning
- learning agent
- robocup soccer
- reinforcement learning algorithms
- physical world
- machine learning
- function approximation
- dynamic programming
- multiagent reinforcement learning
- autonomous entities
- mobile agents
- learning capabilities
- sensor data
- evolutionary learning
- resource allocation
- markov decision processes
- agent technology
- model free
- decision making
- agent systems
- wireless sensor networks
- working environment
- uncertain environments
- state space
- state abstraction
- nash equilibria
- human operators