1 citations · 2 across the 4 of their papers we have counts for
4 papers
Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation
Jianqi Gao, Xizheng Pang, Qi Liu +1
Reinforcement learning-based mapless navigation holds significant potential. However, it faces challenges in indoor environments with local minima area. This paper introduces a saf…
Multi-Agent Target Assignment and Path Finding for Intelligent Warehouse: A Cooperative Multi-Agent Deep Reinforcement Learning Perspective
Qi Liu, Jianqi Gao, Dongjie Zhu +4
Multi-agent target assignment and path planning (TAPF) are two key problems in intelligent warehouse. However, most literature only addresses one of these two problems separately.…
RDE: A Hybrid Policy Framework for Multi-Agent Path Finding Problem
Jianqi Gao, Yanjie Li, Xiaoqing Yang +1
Multi-agent path finding (MAPF) is an abstract model for the navigation of multiple robots in warehouse automation, where multiple robots plan collision-free paths from the start t…
Back to Prior Knowledge: Joint Event Causality Extraction via Convolutional Semantic Infusion
Zijian Wang, Hao Wang, Xiangfeng Luo +1
Joint event and causality extraction is a challenging yet essential task in information retrieval and data mining. Recently, pre-trained language models (e.g., BERT) yield state-of…