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251. Recent Advances in Artificial Intelligence and Smart Applications
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252. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
by Schäfer, Lukas
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2024, The MIT Press
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253. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
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254. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
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2024, Springer International Publishing AG
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255. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
by Schäfer, Lukas
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2024, The MIT Press
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256. Multi-Agent Reinforcement Learning
by Stefano V. Albrecht
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2024, MIT Press
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257. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
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258. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
Seller Description: Fine. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes in Computer Science . XXVIII, 516 p. 163 illus., 144 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited ... See More Details
2024, Springer International Publishing AG
ISBN-13: 9783031777301
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Columbia, MD, USA
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259. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part I
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
Seller Description: New. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes in Computer Science . XXVIII, 516 p. 163 illus., 144 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping ... See More Details
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260. Intelligent Data Engineering and Automated Learning - IDEAL 2024: 25th International Conference, Valencia, Spain, November 20-22, 2024, Proceedings, Part II
by Julian, Vicente (Editor), and Camacho, David (Editor), and Yin, Hujun (Editor)
Seller Description: New. Contains: Illustrations, black & white, Illustrations, color. Lecture Notes in Computer Science . XXVII, 570 p. 176 illus., 143 illus. in color. Intended for professional and scholarly audience. In Stock. 100% Money Back Guarantee. Brand New, Perfect Condition, allow 4-14 business days for standard shipping. To Alaska, Hawaii, U.S. protectorate, P.O. box, and APO/FPO addresses allow 4-28 business days for Standard shipping. No expedited shipping. All orders placed with expedited shipping ... See More Details
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261. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
by Albrecht, Stefano V, and Christianos, Filippos, and Schäfer, Lukas
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2024, MIT Press
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262. Legal Aspects of Autonomous Systems
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2024, Springer Nature
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263. Robotics, Computer Vision and Intelligent Systems
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2024, Springer International Publishing AG
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264. Recent Advances in Agent-Based Negotiation: Applic
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2024, Springer Verlag, Singapore
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265. Multi-Agent Reinforcement Learning: Foundations and Modern Approaches
by Albrecht, Stefano V.
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2024, The MIT Press
ISBN-13: 9780262049375
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