7 citations · 7 across the 4 of their papers we have counts for
4 papers
PACE: Parameter Change for Unsupervised Environment Design
Fang Yuan, Quanjun Yin, Siqi Shen +5
Unsupervised Environment Design (UED) offers a promising paradigm for improving reinforcement learning generalization by adaptively shaping training environments, but it requires r…
NL2GenSym: Natural Language to Generative Symbolic Rules for SOAR Cognitive Architecture via Large Language Models
Fang Yuan, Junjie Zeng, Yue Hu +3
SOAR, a classic symbol-based cognitive architecture, has been fostering the development of general, human-like intelligent agents. Nevertheless, its practical adoption is hindered…
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue
Wenhao Lu, Zhengqiu Zhu, Yong Zhao +5
Mobile crowdsensing is evolving beyond traditional human-centric models by integrating heterogeneous entities like unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGV…
Combining Subgoal Graphs with Reinforcement Learning to Build a Rational Pathfinder
Junjie Zeng, Long Qin, Yue Hu +2
In this paper, we present a hierarchical path planning framework called SG-RL (subgoal graphs-reinforcement learning), to plan rational paths for agents maneuvering in continuous a…