Aggregate Reinforcement Learning for multi-agent territory division: The Hide-and-Seek game.
Mohamed K. GunadyWalid GomaaIkuo TakeuchiPublished in: Eng. Appl. Artif. Intell. (2014)
Keyphrases
- reinforcement learning
- multi agent
- american football
- multi agent simulation
- reinforcement learning agents
- reinforcement learning algorithms
- markov games
- game playing
- video games
- stochastic games
- game theory
- multi agent environments
- state space
- markov decision processes
- game theoretic
- function approximation
- multi agent systems
- temporal difference learning
- multi agent reinforcement learning
- computer games
- model free
- team formation
- learning agents
- temporal difference
- multiple agents
- multiagent reinforcement learning
- educational games
- multiagent systems
- leader follower
- cooperative
- coalition formation
- game design
- game play
- single agent
- transfer learning
- machine learning
- extensive form games
- traffic signal control
- heterogeneous agents
- average reward
- markov decision process
- nash equilibrium
- autonomous agents
- intelligent agents
- dynamic programming
- agent communication
- cooperative agents
- game development
- dynamic environments
- learning process
- learning algorithm