2 papers
cs.LG2025
Selective Learning for Deep Time Series Forecasting
Yisong Fu, Zezhi Shao, Chengqing Yu +5
Benefiting from high capacity for capturing complex temporal patterns, deep learning (DL) has significantly advanced time series forecasting (TSF). However, deep models tend to suf…
cs.MA2024
GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic
Mengxian Li, Qi Wang, Yongjun Xu
The rapid advancement of multi-agent reinforcement learning (MARL) has given rise to diverse training paradigms to learn the policies of each agent in the multi-agent system. The p…