most citedEnhancing Sample Efficiency and Exploration in Reinforcement Learning through the Integration of Diffusion Models and Proximal Policy Optimization

2 citations · 5 across the 4 of their papers we have counts for

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cs.RO2024★ 1 cited

Transformer-XL for Long Sequence Tasks in Robotic Learning from Demonstration

Gao Tianci

This paper presents an innovative application of Transformer-XL for long sequence tasks in robotic learning from demonstrations (LfD). The proposed framework effectively integrates…

cs.RO2024★ 1 cited

Enhancing Robotic Adaptability: Integrating Unsupervised Trajectory Segmentation and Conditional ProMPs for Dynamic Learning Environments

Tianci Gao

We propose a novel framework for enhancing robotic adaptability and learning efficiency, which integrates unsupervised trajectory segmentation with adaptive probabilistic movement…