If you enjoyed this book, you may be interested in these other books by Packt:
Deep Reinforcement Learning Hands-On
Maxim Lapan
ISBN: 978-1-78883-424-7
- Understand the DL context of RL and implement complex DL models
- Learn the foundation of RL: Markov decision processes
- Evaluate RL methods including Cross-entropy, DQN, Actor-Critic, TRPO, PPO, DDPG, D4PG and others
- Discover how to deal with discrete and continuous action spaces in various environments
- Defeat Atari arcade games using the value iteration method
Python Reinforcement Learning Projects
Rajalingappaa Shanmugamani, Sean Saito, Et al
ISBN: 978-1-78899-161-2
- Train and evaluate neural networks built using TensorFlow for RL
- Use RL algorithms in Python and TensorFlow to solve CartPole balancing
- Create deep reinforcement learning algorithms to play Atari games
- Deploy RL algorithms using OpenAI...
