Summary of Fm3q: Factorized Multi-agent Minimax Q-learning For Two-team Zero-sum Markov Game, by Guangzheng Hu et al.
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Gameby Guangzheng Hu, Yuanheng Zhu, Haoran…
FM3Q: Factorized Multi-Agent MiniMax Q-Learning for Two-Team Zero-Sum Markov Gameby Guangzheng Hu, Yuanheng Zhu, Haoran…
CAREForMe: Contextual Multi-Armed Bandit Recommendation Framework for Mental Healthby Sheng Yu, Narjes Nourzad, Randye J.…
Effective and secure federated online learning to rankby Shuyi WangFirst submitted to arxiv on: 26…
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RLby Qin-Wen Luo, Ming-Kun Xie, Ye-Wen…
Be More Diverse than the Most Diverse: Online Selection of Diverse Mixtures of Generative Modelsby…
Online Preference-based Reinforcement Learning with Self-augmented Feedback from Large Language Modelby Songjun Tu, Jingbo Sun,…
Algorithm Design for Continual Learning in IoT Networksby Shugang Hao, Lingjie DuanFirst submitted to arxiv…
Knowledge Distillation in RNN-Attention Models for Early Prediction of Student Performanceby Sukrit Leelaluk, Cheng Tang,…
Balans: Multi-Armed Bandits-based Adaptive Large Neighborhood Search for Mixed-Integer Programming Problemby Junyang Cai, Serdar Kadioglu,…
Incremental Online Learning of Randomized Neural Network with Forward Regularizationby Junda Wang, Minghui Hu, Ning…