A probabilistic argumentation framework for reinforcement learning agents - Towards a mentalistic approach to agent profiles.
Régis RiveretYang GaoGuido GovernatoriAntonino RotoloJeremy PittGiovanni SartorPublished in: Auton. Agents Multi Agent Syst. (2019)
Keyphrases
- reinforcement learning agents
- argumentation frameworks
- dynamic environments
- practical reasoning
- state abstraction
- reinforcement learning
- multi agent environments
- multi agent
- argumentation semantics
- argumentation systems
- preference relations
- grounded semantics
- abstract argumentation
- multi agent systems
- bayesian networks
- autonomous agents
- path finding
- decision problems
- agent systems
- transfer learning
- state space
- learning algorithm
- multiagent systems
- argumentation theory
- data mining