Deep Reinforcement Learning Hands-on

Packt Publishing

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to RL from Q-learning and DQNs to PPO and RLHF

Packt Publishing

Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical problems of chatbots, robotics, discrete optimization, web automation, and more, 2nd Edition

Packt Publishing

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more (English Edition)

Packt Publishing

Deep Reinforcement Learning with Python: Master classic RL, deep RL, distributional RL, inverse RL, and more with OpenAI Gym and TensorFlow, 2nd Edition (English Edition)

Deep Reinforcement Learning with Python: Build next-generation, self-learning models using reinforcement learning techniques and best practices (English Edition)

Packt Publishing

Hands-On Reinforcement Learning with Python: Master reinforcement and deep reinforcement learning using OpenAI Gym and TensorFlow (English Edition)

Packt Publishing

Hands-On Reinforcement Learning for Games: Implementing self-learning agents in games using artificial intelligence techniques (English Edition)

Packt Publishing

Hands-On Deep Learning for Games: Leverage the power of neural networks and reinforcement learning to build intelligent games (English Edition)

Packt Publishing

PyTorch Deep Learning Hands-On: Build CNNs, RNNs, GANs, reinforcement learning, and more, quickly and easily (English Edition)

Packt Publishing

Python Reinforcement Learning Projects: Eight hands-on projects exploring reinforcement learning algorithms using TensorFlow (English Edition)