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ORCID6th DAI 2024: Singapore
- Proceedings of the 2024 6th International Conference on Distributed Artificial Intelligences, DAI 2024, Singapore, December 18-22, 2024. ACM 2024, ISBN 979-8-4007-1007-0
- Jingxiao Chen
, Ziqin Gong, Lvda Chen, Minghuan Liu, Jun Wang, Yong Yu, Weinan Zhang:
Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem. 1-12 - Gennaro Auricchio, Harry J. Clough, Christopher Ho, Kaigui Bian, Changyu Dong, Kan Yang, Jie Zhang:
A Game Theory Reward Model for Federated Learning with Probabilistic Verification. 13-21 - Weiyu Ma, Dongyu Xu, Shu Lin, Haifeng Zhang, Jun Wang:
Adaptive Command : Real-Time Policy Adjustment via Language Models in StarCraft II. 22-30 - Qi Liu, Jingxiang Guo, Zhongjian Qiao, Pengbin Chen, Jinxuan Zhu, Yanjie Li:
Logarithmic Function Matters Policy Gradient Deep Reinforcement Learning. 31-38 - Sam Ganzfried, Kevin A. Wang, Max Chiswick:
Opponent Modeling in Multiplayer Imperfect-Information Games. 39-45 - Zhiyu Zhao, Haifeng Zhang:
Variational Stochastic Games. 46-57 - Chendie Yao, Xingxing Liang, Longfei Zhang, Jincai Huang, Jun Lei, Yulong Zhang:
InPTR: Integration Prioritized Trajectory Replay. 58-70 - Zonglei Jing, Xiaojun Chang, Mingxuan Zhu, Simin Li, Aishan Liu, Xiaoqian Li, Xianglong Liu:
A Comprehensive Evaluation Framework for Multi-Agent Reinforcement Learning. 71-80 - Zijian Fang, Zongkai Liu, Chao Yu:
RegFTRL: Efficient Equilibrium Learning in Two-Player Zero-Sum Games. 81-93 - Zhikang Fan, Weiran Shen:
Optimal Fixed-Price Mechanism with Signaling. 94-102 - Shenyu Zhang, Shixiong Kai, Chang Chen, Yuzheng Zhuang, Zhengbang Zhu, Minghuan Liu, Weinan Zhang:
Multi-Agent Trajectory Prediction with Scalable Diffusion Transformer. 103-111 - Rundong Wang, Weixuan Wang, Xianhan Zeng, Liang Wang, Zhengjie Liang, Yiming Gao, Feiyu Liu, Siqin Li, Xianliang Wang, Qiang Fu, Wei Yang, Lanxiao Huang, Longtao Zheng, Zinovi Rabinovich, Bo An:
Multi-agent Multi-game Entity Transformer: Towards Generalist Models in MARL. 112-120
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