RLingua: Improving Reinforcement Learning Sample Efficiency in Robotic Manipulations With Large Language Models

no code implementations • 11 Mar 2024 • Liangliang Chen, Yutian Lei, Shiyu Jin, Ying Zhang, Liangjun Zhang

In this paper, we propose RLingua, a framework that can leverage the internal knowledge of large language models (LLMs) to reduce the sample complexity of RL in robotic manipulations.

Prompt Engineering Reinforcement Learning (RL)

MAC: ModAlity Calibration for Object Detection

no code implementations • 14 Oct 2023 • Yutian Lei, Jun Liu, Dong Huang

The flourishing success of Deep Neural Networks(DNNs) on RGB-input perception tasks has opened unbounded possibilities for non-RGB-input perception tasks, such as object detection from wireless signals, lidar scans, and infrared images.

Object object-detection +1