Resolving Implicit Coordination in Multi-Agent Deep Reinforcement Learning with Deep Q-Networks & Game Theory.
Griffin AdamsSarguna Janani PadmanabhanShivang ShekharPublished in: CoRR (2020)
Keyphrases
- game theory
- multi agent
- multi agent systems
- reinforcement learning
- cooperative
- multi agent learning
- game theoretic
- multi agent reinforcement learning
- multi agent cooperation
- mechanism design
- nash equilibrium
- statistical physics
- multiagent learning
- profit sharing
- fictitious play
- decision theory
- evolutionary game theory
- markov decision processes
- genetic algorithm
- reinforcement learning algorithms
- learning agents
- decision makers
- software agents
- markov random field
- heterogeneous agents
- multi agent planning
- coalition formation