Algorithms in Multi-Agent Systems: A Holistic Perspective from Reinforcement Learning and Game Theory.
Yunlong LuKai YanPublished in: CoRR (2020)
Keyphrases
- game theory
- multi agent systems
- reinforcement learning
- game theoretic
- learning algorithm
- resource allocation
- nash equilibrium
- multi agent learning
- statistical physics
- cooperative
- nash equilibria
- financial crisis
- state space
- lower bound
- machine learning
- decision theory
- average case
- reinforcement learning algorithms
- human computation
- profit sharing