Apply Deep Reinforcement Learning to NS-SHAFT Game Control.
BoYu LinChing-Lung ChangChuan-Yu ChangPublished in: CcS (2020)
Keyphrases
- reinforcement learning
- control problems
- robot control
- optimal control
- control system
- control policy
- adaptive control
- computer games
- function approximation
- control method
- learning algorithm
- action selection
- model free
- machine learning
- nash equilibrium
- game design
- dynamic model
- game play
- game theory
- control strategies
- data acquisition
- wireless networks
- dynamic programming
- wireless sensor networks
- monte carlo tree search