welcome
In this book
Copyright 2020 Manning Publications
brief contents
welcome
1 Introduction to deep reinforcement learning
2 mathematical foundations of reinforcement learning
3 Balancing immediate and long-term goals
4 Balancing the gathering and utilization of information
5 Evaluating agents' behaviors
6 Improving agents' behaviors
7 Achieving goals more effectively and efficiently
8 Introduction to value-based deep reinforcement learning
9 More stable value-based methods
10 Sample-efficient value-based methods
11 Policy-gradient and actor-critic methods
12 Advanced actor-critic methods
13 Towards artificial general intelligence