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README.md

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 Code samples for [Practical Deep Reinforcement Learning](https://www.packtpub.com/big-data-and-business-intelligence/practical-deep-reinforcement-learning)
 book
+
+* [Chapter 2: OpenAI Gym](Chapter02)
+* [Chapter 3: Deep Learning with PyTorch](Chapter03)
+* [Chapter 4: Cross Entropy method](Chapter04)
+* [Chapter 5: Tabular learning and the Bellman equation](Chapter05)
+* [Chapter 6: Deep Q-Networks](Chapter06)
+* [Chapter 7: DQN extensions](Chapter07)
+* [Chapter 8: Stocks trading using RL](Chapter08)
+* [Chapter 9: Policy Gradients: an alternative](Chapter09)
+* [Chapter 10: Actor-Critic method](Chapter10)
+* [Chapter 11: Asynchronous Advantage Actor-Critic](Chapter11)
+* [Chapter 12: Chatbots traning with RL](Chapter12)
+* [Chapter 13: Web navigation](Chapter13)
+* [Chapter 14: Continuous action space](Chapter14)
+* [Chapter 15: Trust regions: TRPO, PPO and ACKTR](Chapter15)
+* [Chapter 16: Black-box optimisation in RL](Chapter16)
+* [Chapter 17: Beyond model-free: imagination](Chapter17)
+* [Chapter 18: AlphaGo Zero](Chapter18)