Open Daily: 10am - 10pm | Alley door pickup 10am - 7pm 3038 Hennepin Ave Minneapolis, MN
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  • Open Daily: 10am - 10pm
    Alley-side Pickup: 10am - 7pm

    3038 Hennepin Ave Minneapolis, MN
    612-822-4611

Open Daily: 10am - 10pm | Alley-side Pickup: 10am - 7pm
3038 Hennepin Ave Minneapolis, MN
612-822-4611
Reinforcement Learning Made Simple: From Q-Learning and Deep Q-Networks to PPO and RLHF with Practical Applications in Robotics, Chatbots, Games, and

Reinforcement Learning Made Simple: From Q-Learning and Deep Q-Networks to PPO and RLHF with Practical Applications in Robotics, Chatbots, Games, and

George, John

Paperback

General Computers

Currently unavailable to order

ISBN13: 9798298958080
Publisher: Independently Published
Published: Aug 31 2025
Pages: 280
Weight: 1.44
Height: 0.59 Width: 8.50 Depth: 11.00
Language: English

Master Reinforcement Learning with Clear Explanations, Hands-On Projects, and Real-World Applications

Reinforcement learning (RL) is at the heart of today's most exciting AI breakthroughs-from game-playing agents like AlphaGo to robots, financial models, and autonomous systems. This book is your complete guide to understanding and applying RL, designed for students, developers, and AI enthusiasts who want both theory and practice.Inside You'll Discover:
  • Foundations made simple: Key RL concepts such as states, actions, rewards, value functions, and Bellman equations. Core algorithms: Q-learning, SARSA, epsilon-greedy exploration, and temporal difference learning.
  • Deep reinforcement learning: How neural networks, PyTorch, and TensorFlow extend RL beyond tabular methods.
  • Advanced methods: PPO, DDPG, TD3, SAC, multi-agent RL, hierarchical learning, curriculum learning, and RLHF.
  • Hands-on projects: Build agents for FrozenLake, CartPole, FlappyBird, and custom mazes with step-by-step guidance.
  • Troubleshooting & optimization: Debug agents, tune hyperparameters, and design effective reward functions.
  • Real-world impact: Applications in robotics, gaming, finance, healthcare, autonomous driving, and large language models (LLMs).

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