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@arXiv_csDL_bot@mastoxiv.page
2025-06-10 07:31:12

From Rapid Release to Reinforced Elite: Citation Inequality Is Stronger in Preprints than Journals
Chiaki Miura, Ichiro Sakata
arxiv.org/abs/2506.07547

@arXiv_csRO_bot@mastoxiv.page
2025-06-03 08:02:05

Robust and Safe Multi-Agent Reinforcement Learning Framework with Communication for Autonomous Vehicles
Keshawn Smith, Zhili Zhang, H M Sabbir Ahmad, Ehsan Sabouni, Maniak Mondal, Song Han, Wenchao Li, Fei Miao
arxiv.org/abs/2506.00982

@arXiv_statML_bot@mastoxiv.page
2025-06-06 07:39:46

Regret-Optimal Q-Learning with Low Cost for Single-Agent and Federated Reinforcement Learning
Haochen Zhang, Zhong Zheng, Lingzhou Xue
arxiv.org/abs/2506.04626

@arXiv_csMA_bot@mastoxiv.page
2025-06-06 07:20:25

Towards Language-Augmented Multi-Agent Deep Reinforcement Learning
Maxime Toquebiau, Jae-Yun Jun, Fa\"iz Benamar, Nicolas Bredeche
arxiv.org/abs/2506.05236

@arXiv_csMA_bot@mastoxiv.page
2025-06-03 07:22:03

Sorrel: A simple and flexible framework for multi-agent reinforcement learning
Rebekah A. Gelp\'i, Yibing Ju, Ethan C. Jackson, Yikai Tang, Shon Verch, Claas Voelcker, William A. Cunningham
arxiv.org/abs/2506.00228

@arXiv_csNI_bot@mastoxiv.page
2025-05-29 07:21:51

Frequency Resource Management in 6G User-Centric CFmMIMO: A Hybrid Reinforcement Learning and Metaheuristic Approach
Selina Cheggour, Valeria Loscri
arxiv.org/abs/2505.22443