KG-RL: A Knowledge-Guided Reinforcement Learning for Massive Battle Games.
Shiyang ZhouWeiya RenXiaoguang RenXianya MiXiaodong YiPublished in: PRICAI (3) (2021)
Keyphrases
- reinforcement learning
- state space
- domain knowledge
- function approximation
- model free
- learning agents
- knowledge base
- learning algorithm
- multi agent
- expert systems
- optimal policy
- learned knowledge
- complex domains
- machine learning
- reinforcement learning algorithms
- partially observable domains
- temporal difference
- previously learned
- reinforcement learning agents
- learning classifier systems
- game theory
- knowledge acquisition
- knowledge management
- learning process
- action selection
- optimal control
- markov decision process
- nash equilibria
- nash equilibrium