Near and Dear: Designing Relatable VR Agents for Training Games.
Sonam AdinolfPeta WyethRoss BrownLeonie SimpsonPublished in: OZCHI (2020)
Keyphrases
- game theoretic
- learning agents
- nash equilibria
- multi agent systems
- multi agent
- virtual reality
- opponent modeling
- bounded rationality
- multiagent systems
- coalitional games
- virtual training
- intelligent agents
- minority game
- cooperative
- autonomous agents
- serious games
- multiple agents
- multi agent decision making
- virtual environment
- game theory
- solution concepts
- resource allocation
- stochastic games
- multiagent learning
- artificial agents
- mobile agents
- reinforcement learning agents
- agent systems
- complex environments
- decision making
- dynamic environments
- nash equilibrium
- single agent
- software agents
- computer poker
- training set
- cooperative game
- mixed strategy
- game players
- incomplete information
- video games
- imperfect information
- decision problems
- game play
- training samples
- coalition structure generation
- game design
- three dimensional
- transferable utility
- neural network
- coalition formation