Altruism and Selfishness in Believable Game Agents: Deep Reinforcement Learning in Modified Dictator Games.
Damon Daylamani-ZadMarios C. AngelidesPublished in: IEEE Trans. Games (2021)
Keyphrases
- minority game
- learning agents
- game theoretic
- nash equilibria
- reinforcement learning
- stochastic games
- game theory
- opponent modeling
- coalitional games
- reinforcement learning agents
- autonomous agents
- game players
- multi agent
- two player games
- multiagent learning
- solution concepts
- computer poker
- game playing
- nash equilibrium
- pure strategy
- multi agent systems
- computer games
- cooperative game
- game play
- imperfect information
- video games
- single agent
- multi player
- repeated games
- incomplete information
- virtual characters
- multiagent reinforcement learning
- serious games
- reinforcement learning algorithms
- multi agent decision making
- game design
- games played
- pure nash equilibria
- learning agent
- multiagent systems
- mixed strategy
- real time strategy games
- perfect information
- dynamic environments
- human players
- game tree search
- transferable utility
- decision problems
- coalition formation
- learning games
- state space
- markov decision processes
- monte carlo tree search
- evaluation function
- virtual environment
- extensive form games
- cooperative
- resource allocation
- equilibrium strategies
- optimal policy
- multi agent environments
- rational agents
- virtual agents
- online game
- board game
- human computation
- boolean games
- agent learns
- general game playing
- game development
- cooperative games
- game ai
- trust model
- agent receives
- game based learning
- combinatorial auctions
- educational games