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Titlebook: Agents and Artificial Intelligence; 11th International C Jaap van den Herik,Ana Paula Rocha,Luc Steels Conference proceedings 2019 Springer

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樓主: ominous
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發(fā)表于 2025-3-28 18:18:49 | 只看該作者
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發(fā)表于 2025-3-28 21:43:49 | 只看該作者
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發(fā)表于 2025-3-29 00:52:25 | 只看該作者
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發(fā)表于 2025-3-29 03:22:58 | 只看該作者
Segmentation, Targeting, and Positioningnt weighting functions for approximating the implicit feedback relation weights. Experiments on four real-world datasets show that the proposed model significantly outperforms the state-of-art models. Results also show that selecting the right weighting functions for approximating relation weights significantly improves classification accuracy.
45#
發(fā)表于 2025-3-29 08:54:41 | 只看該作者
The Intelligentsia in War and Revolution,hm to Berkeley’s Pac-Man environment. Our algorithm considerably outperforms Deep .-Networks both in terms of learning speed and ultimate performance, showing its potential for boosting existing algorithms. Furthermore, it is robust to the failure of one of its?components.
46#
發(fā)表于 2025-3-29 12:13:49 | 只看該作者
Weighted Personalized Factorizations for Network Classification with Approximated Relation Weights,nt weighting functions for approximating the implicit feedback relation weights. Experiments on four real-world datasets show that the proposed model significantly outperforms the state-of-art models. Results also show that selecting the right weighting functions for approximating relation weights significantly improves classification accuracy.
47#
發(fā)表于 2025-3-29 19:20:28 | 只看該作者
Wide and Deep Reinforcement Learning Extended for Grid-Based Action Games,hm to Berkeley’s Pac-Man environment. Our algorithm considerably outperforms Deep .-Networks both in terms of learning speed and ultimate performance, showing its potential for boosting existing algorithms. Furthermore, it is robust to the failure of one of its?components.
48#
發(fā)表于 2025-3-29 21:53:16 | 只看該作者
Reports from Contemporary Businessting optimal algorithms for MAPF: search-based CBS, and propositional satisfiability (SAT) - based MDD-SAT and SMT-CBS. These algorithms were modified to tackle various types of conflicts. The major contribution of this paper is a thorough experimental evaluation of CBS, MDD-SAT, and SMT-CBS on various types of relocation problems.
49#
發(fā)表于 2025-3-30 01:40:04 | 只看該作者
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發(fā)表于 2025-3-30 04:17:11 | 只看該作者
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