Hierarchical Reinforcement Learning for Multi-agent MOBA Game.
Zhijian ZhangHaozheng LiLuo ZhangTianyin ZhengTing ZhangXiong HaoXiaoxin ChenMin ChenFangxu XiaoWei ZhouPublished in: CoRR (2019)
Keyphrases
- hierarchical reinforcement learning
- multi agent
- reinforcement learning
- american football
- extensive form games
- game theory
- model free
- state abstraction
- multi agent systems
- computer games
- game play
- game playing
- video games
- nash equilibrium
- optimal policy
- multiple agents
- least squares
- state space
- markov decision processes
- leader follower