Learning to shoot in first person shooter games by stabilizing actions and clustering rewards for reinforcement learning.
Frank G. GlavinMichael G. MaddenPublished in: CIG (2015)
Keyphrases
- reinforcement learning
- action sets
- action selection
- learning process
- learning algorithm
- state space
- markov decision processes
- learning agents
- multiagent reinforcement learning
- digital games
- reinforcement learning algorithms
- temporal difference
- state action
- decision theoretic
- learned knowledge
- function approximation
- learning problems
- learning tasks
- reinforcement learning methods
- multiagent learning
- reward shaping
- partially observable domains
- learning agent
- model free
- game theoretic
- serious games
- game theory
- transfer learning
- unsupervised learning
- active learning
- k means
- clustering algorithm