Search Results for author: Zhehua Zhou

Found 4 papers, 2 papers with code

Self-Refined Large Language Model as Automated Reward Function Designer for Deep Reinforcement Learning in Robotics

1 code implementation13 Sep 2023 Jiayang Song, Zhehua Zhou, Jiawei Liu, Chunrong Fang, Zhan Shu, Lei Ma

Then, the performance of the reward function is assessed, and the results are presented back to the LLM for guiding its self-refinement process.

Common Sense Reasoning Language Modelling +1

ISR-LLM: Iterative Self-Refined Large Language Model for Long-Horizon Sequential Task Planning

1 code implementation26 Aug 2023 Zhehua Zhou, Jiayang Song, Kunpeng Yao, Zhan Shu, Lei Ma

Motivated by the substantial achievements observed in Large Language Models (LLMs) in the field of natural language processing, recent research has commenced investigations into the application of LLMs for complex, long-horizon sequential task planning challenges in robotics.

Language Modelling Large Language Model

Data Generation Method for Learning a Low-dimensional Safe Region in Safe Reinforcement Learning

no code implementations10 Sep 2021 Zhehua Zhou, Ozgur S. Oguz, Yi Ren, Marion Leibold, Martin Buss

Safe reinforcement learning aims to learn a control policy while ensuring that neither the system nor the environment gets damaged during the learning process.

reinforcement-learning Reinforcement Learning (RL) +1

Off-Policy Risk-Sensitive Reinforcement Learning Based Constrained Robust Optimal Control

no code implementations10 Jun 2020 Cong Li, Qingchen Liu, Zhehua Zhou, Martin Buss, Fangzhou Liu

By introducing pseudo controls and risk-sensitive input and state penalty terms, the constrained robust stabilization problem of the original system is converted into an equivalent optimal control problem of an auxiliary system.

reinforcement-learning Reinforcement Learning (RL)

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