An Investigation of the Behaviours of Machine Learning Agents Used in the Game of Go.
Mingyue ZhangXiao-Yi ZhangPaolo ArcainiFuyuki IshikawaPublished in: DSA (2023)
Keyphrases
- learning agents
- minority game
- multi agent
- learning in multi agent systems
- reinforcement learning
- multiagent systems
- complex environments
- game theoretic
- autonomous agents
- game theory
- dynamic environments
- path planning
- nash equilibrium
- single agent
- collective behavior
- knowledge acquisition
- expert systems
- machine learning