Maxim Lapan

3 books

About the Author

Maxim Lapan is a seasoned machine learning engineer and author renowned for his practical approach to advanced topics in artificial intelligence. With a deep expertise in reinforcement learning, he has guided countless professionals and enthusiasts through the complexities of modern RL techniques. His seminal work, Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-networks, value iteration, policy gradients, TRPO, AlphaGo Zero and more, demystifies cutting-edge algorithms, offering hands-on implementations and real-world applications. Lapan's writing bridges theoretical foundations with actionable code, making sophisticated concepts accessible to practitioners at all levels. Beyond his publications, he contributes to open-source projects and speaks at international conferences on AI innovations.

Common genres

artificial intelligence Computer Science Deep Learning Reinforcement Learning

Writing style

practical technical accessible

Books by Maxim Lapan

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

Maxim Lapan

About the Author

Books by Maxim Lapan

Deep Reinforcement Learning Hands-On: A practical and easy-to-follow guide to R…

Deep Reinforcement Learning Hands-On: Apply modern RL methods to practical prob…

Deep Reinforcement Learning Hands-On: Apply modern RL methods, with deep Q-netw…