5 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.RO2023★ 5 cited
Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics
Jiayang Song, Zhehua Zhou, Jiawei Liu +3
Although Deep Reinforcement Learning (DRL) has achieved notable success in numerous robotic applications, designing a high-performing reward function remains a challenging task tha…
cs.RO2023★ 3 cited
ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning
Zhehua Zhou, Jiayang Song, Kunpeng Yao +2
Motivated by the substantial achievements observed in Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into th…
eess.SY2023
Data-Driven Leader-following Consensus for Nonlinear Multi-Agent Systems against Composite Attacks: A Twins Layer Approach
Xin Gong, Jintao Peng, Dong Yang +3
This paper studies the leader-following consensuses of uncertain and nonlinear multi-agent systems against composite attacks (CAs), including Denial of Service (DoS) attacks and ac…