Multi-Agent Reinforcement Learning: Foundations and Modern Approaches (1版)

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【簡介】 The first comprehensive introduction to Multi-Agent Reinforcement Learning (MARL), covering MARL’s models, solution concepts, algorithmic ideas, technical challenges, and modern approaches.Multi-Agent Reinforcement Learning (MARL), an area of machine learning in which a collective of agents learn to optimally interact in a shared environment, boasts a growing array of applications in modern life, from autonomous driving and multi-robot factories to automated trading and energy network management. This text provides a lucid and rigorous introduction to the models, solution concepts, algorithmic ideas, technical challenges, and modern approaches in MARL. The book first introduces the field’s foundations, including basics of reinforcement learning theory and algorithms, interactive game models, different solution concepts for games, and the algorithmic ideas underpinning MARL research. It then details contemporary MARL algorithms which leverage deep learning techniques, covering ideas such as centralized training with decentralized execution, value decomposition, parameter sharing, and self-play. The book comes with its own MARL codebase written in Python, containing implementations of MARL algorithms that are self-contained and easy to read. Technical content is explained in easy-to-understand language and illustrated with extensive examples, illuminating MARL for newcomers while offering high-level insights for more advanced readers. First textbook to introduce the foundations and applications of MARL, written by experts in the fieldIntegrates reinforcement learning, deep learning, and game theoryPractical focus covers considerations for running experiments and describes environments for testing MARL algorithmsExplains complex concepts in clear and simple languageClassroom-tested, accessible approach suitable for graduate students and professionals across computer science, artificial intelligence, and robotics Resources include code and slides

Physics for Scientists and Engineers: Foundations and Connections, Volume 2 1/e (精裝) (1版)

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【簡介】 【目錄】 Table of Contents PART III: ELECTRICITY. 23. Electric Forces. 24. Electric Fields. 25. Gauss’s Law. 26. Electric Potential. 27. Capacitors and Batteries. 28. Current and Resistance. 29. Direct Current (DC) Circuits. PART IV: MAGNETISM. 30. Magnetic Fields and Forces. 31. Gauss’s Law for Magnetism and Ampère’s Law. 32. Faraday’s Law of Induction. 33. Inductors and AC Circuits. 34. Maxwell’s Equations and Electromagnetic Waves. PART V: LIGHT. 35. Diffraction and Interference. 36. Applications of the Wave Model. 37. Reflection and Images Formed by Reflection. 38. Refraction and Images Formed by Refraction. PART VI: 20TH CENTURY PHYSICS. 39. Relativity. 40. The Origin of Quantum Physics 41. Schrödinger's Equation 42. Atoms 43. Nuclear and Particle Physics. Appendix A. Mathematics. Appendix B. Reference Tables. Periodic Table of the Elements. Answers to Concept Exercises and Odd-Numbered Problems. Index.

Physics for Scientists and Engineers: Foundations and Connections, Volume 1 1/e (精裝) (1版)

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【簡介】 【目錄】 Table of Contents Part I: CLASSICAL MECHANICS. 1. Getting Started. 2. One-Dimensional Motion. 3. Vectors. 4. Two- and Three-Dimensional Motion. 5. Newton’s Laws of Motion. 6. Applications of Newton’s Laws of Motion. 7. Gravity. 8. Conservation of Energy. 9. Energy in Non-Isolated Systems. 10. Systems of Particles and Conservation of Momentum. 11. Collisions. 12. Rotation I: Kinematics and Dynamics. 13. Rotation II: A Conservation Approach. Part II: MECHANICS OF COMPLEX SYSTEMS. 14. Static Equilibrium, Elasticity, and Fracture. 15. Fluids. 16. Oscillations. 17. Traveling Waves. 18. Superposition and Standing Waves. 19. Temperature, Thermal Expansion, and Gas Laws. 20. Kinetic Theory of Gases. 21. Heat and the First Law of Thermodynamics. 22. Entropy and the Second Law of Thermodynamics. Appendix A. Mathematics. Appendix B. Reference Tables. Periodic Table of the Elements. Answers to Concept Exercises and Odd-Numbered Problems. Index.