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 for Drug Discovery and Molecular Optimization with Python

Reinforcement Learning for Drug Discovery and Molecular Optimization with Python

Kanegi, Takehiro
Schwartz, Alice
Arden, Livia

Paperback

General ScienceProgramming

Currently unavailable to order

ISBN13: 9798181338371
Publisher: Independently Published
Pages: 466
Weight: 1.23
Height: 1.16 Width: 6.00 Depth: 9.00
Language: English
Reactive Publishing

Explore the intersection of reinforcement learning and computational drug discovery in this practical guide for researchers, data scientists, and computational chemists.

This book provides a hands-on introduction to applying reinforcement learning techniques in Python to accelerate molecular design and optimization. Readers will learn core algorithms including policy gradients, Q-learning, actor-critic methods, and deep RL agents, with clear explanations of how they are adapted for chemistry-specific challenges.

Key topics include:

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