TemporalPaD: a reinforcement-learning framework for temporal feature representation and dimension reduction

no code implementations • 27 Sep 2024 • Xuechen Mu, Zhenyu Huang, Kewei Li, Haotian Zhang, Xiuli Wang, Yusi Fan, Kai Zhang, Fengfeng Zhou

The Policy Module, responsible for dimensionality reduction through RL, functions as the actor, while the Representation Module for feature extraction and the Classification Module collectively serve as the critic.

Dimensionality Reduction Reinforcement Learning (RL)

Hierarchical Task Network Planning for Facilitating Cooperative Multi-Agent Reinforcement Learning

no code implementations • 14 Jun 2023 • Xuechen Mu, Hankz Hankui Zhuo, Chen Chen, Kai Zhang, Chao Yu, Jianye Hao

Exploring sparse reward multi-agent reinforcement learning (MARL) environments with traps in a collaborative manner is a complex task.

Multi-agent Reinforcement Learning reinforcement-learning