Multi-Agent Reinforcement Learning for a Random Access Game.
Dongwoo LeeYu ZhaoJun-Bae SeoJoohyun LeePublished in: IEEE Trans. Veh. Technol. (2022)
Keyphrases
- random access
- multi agent reinforcement learning
- stochastic games
- game theory
- multi agent learning
- nash equilibria
- multi agent
- multi agent systems
- computer games
- multiview video coding
- nash equilibrium
- game theoretic
- cooperative
- reinforcement learning
- learning agents
- video games
- game playing
- imperfect information
- markov decision processes
- memory size
- evolutionary game theory
- game play
- average reward
- e learning
- reinforcement learning algorithms
- expert systems