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국외eBook
Dynamic Scheduling in Large-scale Manufacturing Processing Systems Using Multi-agent Reinforcement Learning
Qu, Shuhui
[S.l.] : Stanford University, 2019
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Thesis
Temporary Capacity Expansion Policy for Multiple Lines in a Semiconductor Fab using Reinforcement Learning
트린 민 당
부산 : 부산대학교 대학원, 2025
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Enabling Technologies and Applications for Networked Airborne Computing[electronic resource]
Wang, Baoqian
[S.l.]: University of California, San Diego. 2023
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A New Zeroth-Order Oracle for Distributed and Non-Stationary Learning[electronic resource]
Zhang, Yan
[S.l.] : Duke University, 2021
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Foreign Book
Advancing Reinforcement Learning: Multi-Agent Optimization, Opportunistic Exploration, and Causal Interpretation[electronic resource]
Wang, Xiaoxiao
[S.l.]: University of California, Davis. 2024
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Foreign Book
Advanced artificial intelligence
Shi, Zhongzhi
Singapore
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Multi-Agent Systems: Enhancing Scalability, Task-Agent Adaptiveness and Benchmarking[electronic resource]
Long, Qian
[S.l.]: University of California, Los Angeles. 2024
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Learning Through Social Interactions and Learning to Socially Interact in Multi-Agent Learning[electronic resource]
Madhushani, Udari
[S.l.]: Princeton University. 2023
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All : Multi agent reinforcement learning
Publication Years(6)
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Authors(15)
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