Ausgabe 1/2024
Inhalt (16 Artikel)
IOB: integrating optimization transfer and behavior transfer for multi-policy reuse
Siyuan Li, Hao Li, Jin Zhang, Zhen Wang, Peng Liu, Chongjie Zhang
A survey of multi-agent deep reinforcement learning with communication
Changxi Zhu, Mehdi Dastani, Shihan Wang
Towards interactive explanation-based nutrition virtual coaching systems
Berk Buzcu, Melissa Tessa, Igor Tchappi, Amro Najjar, Joris Hulstijn, Davide Calvaresi, Reyhan Aydoğan
Landmark-based distributed topological mapping and navigation in GPS-denied urban environments using teams of low-cost robots
Mohammad Saleh Teymouri, Subhrajit Bhattacharya
Differentially private multi-agent constraint optimization
Sankarshan Damle, Aleksei Triastcyn, Boi Faltings, Sujit Gujar
Equilibria in schelling games: computational hardness and robustness
Luca Kreisel, Niclas Boehmer, Vincent Froese, Rolf Niedermeier
Decentralized multi-agent path finding framework and strategies based on automated negotiation
M. Onur Keskin, Furkan Cantürk, Cihan Eran, Reyhan Aydoğan
Correction: A survey of multi-agent deep reinforcement learning with communication
Changxi Zhu, Mehdi Dastani, Shihan Wang
Modeling and reinforcement learning in partially observable many-agent systems
Keyang He, Prashant Doshi, Bikramjit Banerjee
A survey of research on several problems in the RoboCup3D simulation environment
Zhongye Gao, Mengjun Yi, Ying Jin, Hanwen Zhang, Yun Hao, Ming Yin, Ziwen Cai, Furao Shen
Model-free reinforcement learning for motion planning of autonomous agents with complex tasks in partially observable environments
Junchao Li, Mingyu Cai, Zhen Kan, Shaoping Xiao
Toward fast belief propagation for distributed constraint optimization problems via heuristic search
Junsong Gao, Ziyu Chen, Dingding Chen, Wenxin Zhang, Qiang Li
Mechanism design for public projects via three machine learning based approaches
Mingyu Guo, Diksha Goel, Guanhua Wang, Runqi Guo, Yuko Sakurai, Muhammad Ali Babar