Playing First-Person-Shooter Games with A3C-Anticipator Network Based Agents Using Reinforcement Learning.
Yibo SunAdil KhanKai YangFeng JiangShaohui LiuPublished in: ICAIS (4) (2019)
Keyphrases
- computer games
- learning agents
- reinforcement learning
- video games
- multi agent
- game players
- reinforcement learning agents
- multiagent learning
- game playing
- multi agent systems
- multi player
- learning agent
- minority game
- computer poker
- game theoretic
- multi agent reinforcement learning
- multiagent systems
- opponent modeling
- game design
- action selection
- nash equilibria
- multi agent environments
- stochastic games
- single agent
- game play
- solution concepts
- imperfect information
- general game playing
- cooperative
- multiple agents
- games played
- educational games
- bounded rationality
- autonomous agents
- intelligent agents
- resource allocation
- agent receives
- game theory
- software agents
- game description language
- multi agent decision making
- two player games
- coalition formation
- human players
- learning capabilities
- coalitional games
- online game
- digital games
- complex environments
- multiagent reinforcement learning
- mobile agents
- function approximation
- state space
- foreign language learners
- robocup soccer
- dynamic environments
- markov decision processes
- evolutionary learning
- minimax search
- partial observability