Supervised and Reinforcement Learning in Neural Network Based Approach to the Battleship Game Strategy.
Ladislav ClementisPublished in: NOSTRADAMUS (2013)
Keyphrases
- neural network
- reinforcement learning
- optimal strategy
- learning algorithm
- supervised learning
- machine learning
- genetic algorithm
- two player games
- game playing
- video games
- game theory
- back propagation
- feature selection
- active learning
- computer games
- artificial neural networks
- function approximation
- function approximators
- game design
- pattern recognition
- temporal difference learning
- control policy
- digital games
- learning capabilities
- reinforcement learning algorithms
- model free
- semi supervised
- educational games
- markov decision processes
- fault diagnosis
- training data
- serious games
- monte carlo
- mixed strategy
- neural network is trained
- leader follower