A survey on multi-agent deep reinforcement learning: from the perspective of challenges and applications.
Wei DuShifei DingPublished in: Artif. Intell. Rev. (2021)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- state space
- reinforcement learning agents
- open issues
- cooperative
- multi agent systems
- real world
- paradigm shift
- model free
- key issues
- lessons learned
- intelligent agents
- autonomous agents
- single agent
- reinforcement learning algorithms
- technical challenges
- multiagent systems
- multi agent reinforcement learning
- learning agents
- viewpoint
- multiple agents
- temporal difference
- learning process
- dynamic programming
- supervised learning
- case study
- function approximators
- information retrieval
- learning problems
- reinforcement learning methods
- optimal policy
- multiagent reinforcement learning
- data sets