Exploration-exploitation in multi-agent learning: Catastrophe theory meets game theory.
Stefanos LeonardosGeorgios PiliourasPublished in: Artif. Intell. (2022)
Keyphrases
- multi agent learning
- game theory
- statistical physics
- game theoretic
- decision theory
- cooperative
- evolutionary game theory
- multiagent learning
- multi agent systems
- nash equilibrium
- theoretical framework
- resource allocation
- multi agent reinforcement learning
- nash equilibria
- exploration exploitation
- reinforcement learning
- decision makers
- probability distribution
- learning process
- bandit problems
- artificial intelligence
- imprecise probabilities