On Measuring the Impact of Human Actions in the Machine Learning of a Board Game's Playing Policies
Dimitris KallesPublished in: CoRR (2006)
Keyphrases
- board game
- human actions
- machine learning
- action recognition
- spatio temporal
- game playing
- computer games
- human motion
- human activities
- space time
- recognition of human actions
- game design
- video sequences
- visual features
- computer vision
- activity recognition
- recognizing actions
- action sequences
- reinforcement learning
- learning algorithm
- machine learning algorithms
- optimal policy
- computer programs
- tree search
- artificial intelligence
- active learning
- text classification
- moving objects
- human pose