1 citations · 1 across the 5 of their papers we have counts for
5 papers
Physics-Informed Modeling and Control of Emergent Behaviors in Robot Swarms
Zixuan Jin, Wenzhuo Zhang, Shuxian Quan +4
Robot swarms can exhibit coherent collective behaviors through local perception, limited communication and decentralized decision-making, yet modeling and controlling such emergenc…
Subgoal-based Hierarchical Reinforcement Learning for Multi-Agent Collaboration
Cheng Xu, Changtian Zhang, Yuchen Shi +4
Recent advancements in reinforcement learning have made significant impacts across various domains, yet they often struggle in complex multi-agent environments due to issues like a…
Dynamic Deep Factor Graph for Multi-Agent Reinforcement Learning
Yuchen Shi, Shihong Duan, Cheng Xu +3
This work introduces a novel value decomposition algorithm, termed \textit{Dynamic Deep Factor Graphs} (DDFG). Unlike traditional coordination graphs, DDFG leverages factor graphs…
CARSS: Cooperative Attention-guided Reinforcement Subpath Synthesis for Solving Traveling Salesman Problem
Yuchen Shi, Congying Han, Tiande Guo
This paper introduces CARSS (Cooperative Attention-guided Reinforcement Subpath Synthesis), a novel approach to address the Traveling Salesman Problem (TSP) by leveraging cooperati…
NeuroPrim: An Attention-based Model for Solving NP-hard Spanning Tree Problems
Yuchen Shi, Congying Han, Tiande Guo
Spanning tree problems with specialized constraints can be difficult to solve in real-world scenarios, often requiring intricate algorithmic design and exponential time. Recently,…