Interestingness elements for explainable reinforcement learning: Understanding agents' capabilities and limitations.
Pedro SequeiraMelinda T. GervasioPublished in: Artif. Intell. (2020)
Keyphrases
- reinforcement learning
- multi agent
- multiagent learning
- learning agents
- multi agent systems
- learning capabilities
- multiagent systems
- multi agent reinforcement learning
- multiple agents
- learning agent
- cooperative
- action selection
- single agent
- intelligent agents
- autonomous agents
- multi agent environments
- mobile agents
- agent receives
- reinforcement learning agents
- resource allocation
- dynamic environments
- model free
- software agents
- learning algorithm
- agent model
- reinforcement learning algorithms
- multiagent reinforcement learning
- agent systems
- decision making
- partial observability
- machine learning
- cognitive effort
- agent behavior
- optimal policy
- markov decision process
- past experience
- user defined
- pattern discovery
- coalition formation
- decision theoretic