fabiansd/Deep-Reinforcement-Learning-Hands-On

This is the code material for the RL book written by maxim Lapan

Deep Reinforcement Learning Hands-On

Code samples for Deep Reinforcement Learning Hands-On book

• Chapter 2: OpenAI Gym
• Chapter 3: Deep Learning with PyTorch
• Chapter 4: Cross Entropy method
• Chapter 5: Tabular learning and the Bellman equation
• Chapter 6: Deep Q-Networks
• Chapter 7: DQN extensions
• Chapter 8: Stocks trading using RL
• Chapter 9: Policy Gradients: an alternative
• Chapter 10: Actor-Critic method
• Chapter 11: Asynchronous Advantage Actor-Critic
• Chapter 12: Chatbots traning with RL
• Chapter 13: Web navigation
• Chapter 14: Continuous action space
• Chapter 15: Trust regions: TRPO, PPO and ACKTR
• Chapter 16: Black-box optimisation in RL
• Chapter 17: Beyond model-free: imagination
• Chapter 18: AlphaGo Zero