Selective neural network ensembles in reinforcement learning: Taking the advantage of many agents.
Stefan FaußerFriedhelm SchwenkerPublished in: Neurocomputing (2015)
Keyphrases
- neural network ensembles
- reinforcement learning
- multi agent
- multi agent systems
- learning agents
- action selection
- multiagent systems
- single agent
- multiple agents
- intelligent agents
- multi agent reinforcement learning
- multi agent environments
- learning capabilities
- cooperative
- autonomous agents
- learning agent
- agent receives
- reactive agents
- reinforcement learning agents
- agent systems
- neural network
- optimal policy
- decision making
- agent technology
- artificial agents
- agent behavior
- software agents
- robocup soccer
- evolutionary learning
- learning algorithm
- state space
- dynamic environments
- mobile agents
- complex environments
- agent architecture
- partial observability
- transfer learning
- interacting agents
- markov decision processes
- model free
- function approximation
- learned knowledge
- coalition formation
- incomplete information
- decision problems
- distributed agents
- dynamical systems
- action space
- resource allocation
- game theoretic
- reasoning process