Imagination-Augmented Agents for Deep Reinforcement Learning.
Theophane WeberSébastien RacanièreDavid P. ReichertLars BuesingArthur GuezDanilo Jimenez RezendeAdrià Puigdomènech BadiaOriol VinyalsNicolas HeessYujia LiRazvan PascanuPeter W. BattagliaDavid SilverDaan WierstraPublished in: CoRR (2017)
Keyphrases
- reinforcement learning
- multi agent
- multi agent systems
- learning agents
- action selection
- multi agent environments
- single agent
- multiagent systems
- autonomous agents
- multiagent learning
- multi agent reinforcement learning
- agent receives
- reactive agents
- multiple agents
- cooperative
- learning agent
- learned knowledge
- function approximation
- learning capabilities
- reinforcement learning agents
- artificial agents
- dynamic environments
- state space
- learning process
- robocup soccer
- model free
- intelligent agents
- multiagent reinforcement learning
- mobile agents
- evolutionary learning
- learning algorithm
- agent systems
- reinforcement learning algorithms
- optimal control
- markov decision processes
- agent technology
- game theoretic
- complex environments
- software agents
- complex domains
- agent architecture
- coalition formation
- distributed agents
- interacting agents
- decentralized control
- agent model
- decision theoretic
- transfer learning
- temporal difference
- action space