By Nazia Habib
Leverage the power of reward-based training for your deep learning models with Python
Apr 2019 212 pages
Key Features
- - Understand Q-learning algorithms to train neural networks using Markov Decision Process (MDP)
- Study practical deep reinforcement learning using Q-Networks
- Explore state-based unsupervised learning for machine learning models