Automated design of action advising trigger conditions for multiagent reinforcement learning: A genetic programming-based approach.
Tonghao WangXingguang PengTao WangTong LiuDemin XuPublished in: Swarm Evol. Comput. (2024)
Keyphrases
- automated design
- genetic programming
- multiagent reinforcement learning
- joint action
- evolutionary design
- evolutionary computation
- multiagent systems
- stochastic games
- engineering design
- cooperative
- fitness function
- evolutionary algorithm
- multi agent
- sufficient conditions
- security protocols
- genetic algorithm
- mechanism design
- evaluation function
- linear programming