45 citations · 82 across the 19 of their papers we have counts for
4 papers · 1 filter
RMIO: A Model-Based MARL Framework for Scenarios with Observation Loss in Some Agents
Zifeng Shi, Meiqin Liu, Senlin Zhang +2
In recent years, model-based reinforcement learning (MBRL) has emerged as a solution to address sample complexity in multi-agent reinforcement learning (MARL) by modeling agent-env…
Relation DETR: Exploring Explicit Position Relation Prior for Object Detection
Xiuquan Hou, Meiqin Liu, Senlin Zhang +3
This paper presents a general scheme for enhancing the convergence and performance of DETR (DEtection TRansformer). We investigate the slow convergence problem in transformers from…
Cooperative Reward Shaping for Multi-Agent Pathfinding
Zhenyu Song, Ronghao Zheng, Senlin Zhang +1
The primary objective of Multi-Agent Pathfinding (MAPF) is to plan efficient and conflict-free paths for all agents. Traditional multi-agent path planning algorithms struggle to ac…
Salience DETR: Enhancing Detection Transformer with Hierarchical Salience Filtering Refinement
Xiuquan Hou, Meiqin Liu, Senlin Zhang +2
DETR-like methods have significantly increased detection performance in an end-to-end manner. The mainstream two-stage frameworks of them perform dense self-attention and select a…