Hierarchical multi-agent reinforcement learning for cooperative tasks with sparse rewards in continuous domain.
Jingyu CaoLu DongXin YuanYuanda WangChangyin SunPublished in: Neural Comput. Appl. (2024)
Keyphrases
- multi agent reinforcement learning
- continuous domains
- reinforcement learning
- cooperative
- multi agent
- multi agent systems
- learning agents
- distributed control
- transfer learning
- higher dimensional
- state space
- markov decision processes
- game theory
- random walk
- stochastic games
- neural network
- artificial neural networks
- training data
- genetic algorithm