Meta-modeling game for deriving theoretical-consistent, micro-structural-based traction-separation laws via deep reinforcement learning.
Kun WangWaiChing SunPublished in: CoRR (2018)
Keyphrases
- reinforcement learning
- multi agent
- theoretical analysis
- machine learning
- structural information
- game theory
- neural network
- function approximation
- educational games
- structural analysis
- dynamic programming
- learning algorithm
- decision problems
- learning tasks
- nash equilibrium
- optimal control
- serious games
- game based learning
- temporal difference learning
- multi agent reinforcement learning