Deep Reinforcement Learning Hands On > PACKT 원서리스트

Table of Contents

1: WHAT IS REINFORCEMENT LEARNING?
2: OPENAI GYM
3: DEEP LEARNING WITH PYTORCH
4: THE CROSS-ENTROPY METHOD
5: TABULAR LEARNING AND THE BELLMAN EQUATION
6: DEEP Q-NETWORKS
7: DQN EXTENSIONS
8: STOCKS TRADING USING RL
9: POLICY GRADIENTS – AN ALTERNATIVE
10: THE ACTOR-CRITIC METHOD
11: ASYNCHRONOUS ADVANTAGE ACTOR-CRITIC
12: CHATBOTS TRAINING WITH RL
13: WEB NAVIGATION
14: CONTINUOUS ACTION SPACE
15: TRUST REGIONS – TRPO, PPO, AND ACKTR
16: BLACK-BOX OPTIMIZATION IN RL
17: BEYOND MODEL-FREE – IMAGINATION
18: ALPHAGO ZERO