Practical Multi-Agent Reinforcement Learning
Idioma: inglés
Editorial: Amazon Digital Services LLC - Kdp, 2025
Serie: Libro 2 de 3 - Multi-Agent Reinforcement Learning Mastery Series for Researchers and Developers
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Librería: PBShop.store UK, Fairford, GLOS, Reino UnidoPBShop.store UK
Vendedor de IberLibro desde 11 de junio de 1999
Condición: Nuevo
EUR 28,55
Cantidad disponible: Más de 20 disponibles
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New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
N° de ref. del artículo L0-9798262293674
- Título
- Practical Multi-Agent Reinforcement Learning
- Autor
- Lauritsen, Marcus C.
- Editorial
- Amazon Digital Services LLC - Kdp
- Año de publicación
- 2025
- Estado
- New
- Encuadernación
- PAP
- Idioma
- inglés
- ISBN 13
- 9798262293674
- Peso del artículo
- 336 gramos
- Serie
- Libro 2 de 3: Multi-Agent Reinforcement Learning Mastery Series for Researchers and Developers
Unlock the Power of Artificial Intelligence—No Experience Needed!
Are you fascinated by the idea of intelligent agents—robots, self-driving cars, or virtual teammates—learning to cooperate, compete, and adapt in the real world? Do you want to build practical AI projects but feel intimidated by technical jargon or a lack of experience? If so, Practical Multi-Agent Reinforcement Learning: Hands-On Implementation with Python and Open-Source Tools is the perfect companion for your learning journey.
Step Into Multi-Agent AI—One Small Win at a Time
This book is designed especially for beginners and self-learners who want to master the foundations of multi-agent reinforcement learning (MARL) without prior coding or math expertise. From the very first page, you’ll feel supported, encouraged, and empowered to explore one of the most exciting frontiers in artificial intelligence.
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Friendly, step-by-step guidance: Each chapter builds your confidence with approachable explanations and gentle introductions to core ideas—no complex formulas or intimidating theory.
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Practical, real-world projects: You’ll create working Python programs using PettingZoo, Ray RLlib, and Stable Baselines3—open-source tools used in cutting-edge AI research and industry.
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Celebrate progress: Every bug fixed, script run, and concept mastered is treated as a victory. Mistakes are normalized, and each small breakthrough is a reason to keep going.
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No prior experience required: Whether you’re a student, hobbyist, or tech-curious newcomer, all you need is curiosity and a willingness to learn.
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Hands-on, code-first approach: Build your own environments, design agent interactions, experiment with classic and deep learning algorithms, and analyze your results—at your own pace.
What You’ll Gain Inside:
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A gentle but thorough introduction to the key ideas of multi-agent RL
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Clear, jargon-free explanations of agents, environments, rewards, and learning cycles
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Project-based tutorials using Python and leading open-source libraries
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Step-by-step setup for your development environment—no headaches, just results
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Tips for debugging, troubleshooting, and scaling your projects to real-world complexity
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Real-world examples, case studies, and personal insights from a fellow learner
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Guidance on responsible, ethical AI and pointers for advanced exploration
Take Your First Confident Step Into the World of Multi-Agent AI
Don’t let fear or self-doubt hold you back from mastering one of today’s most sought-after AI skills. With this book as your supportive guide, you’ll move from curious beginner to capable MARL practitioner, building practical projects and unlocking your creative potential along the way.
Ready to start building intelligent agents and real AI systems—one clear, supportive step at a time? Grab your copy and let’s begin your journey into multi-agent reinforcement learning today!
“Sinopsis” puede pertenecer a otra edición de este título.
PBShop.store UK
Fairford, GLOS, Reino Unido
Vendedor de IberLibro desde 11 de junio de 1999
Tarifas de envío de Reino Unido a Estados Unidos de America
| Artículo | De 10 a 20 días hábiles | De 10 a 20 días hábiles |
|---|---|---|
| Primer artículo | EUR 4,99 | EUR 4,99 |
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