If you enjoyed this book, you may be interested in these other books by Packt:
Hands-On Reinforcement Learning with Python
Sudharsan Ravichandiran
ISBN: 978-1-78883-652-4
- Understand the basics of reinforcement learning methods, algorithms, and elements
- Train an agent to walk using OpenAI Gym and Tensorflow
- Understand the Markov Decision Process, Bellman’s optimality, and TD learning
- Solve multi-armed-bandit problems using various algorithms
- Master deep learning algorithms, such as RNN, LSTM, and CNN with applications
- Build intelligent agents using the DRQN algorithm to play the Doom game
- Teach agents to play the Lunar Lander game using DDPG
- Train an agent to win a car racing game using dueling DQN
Python Reinforcement Learning Projects
Rajalingappaa Shanmugamani, Sean Saito, Et al
ISBN: 978-1-78899-161-2
- Train and evaluate neural networks...
