ArXiv TLDR

Cong Yang

3 papers · Latest:

Machine Learning

Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters

This paper uses SHAP to analyze algorithm and hyperparameter impacts on RL generalization in robotics, enabling better configuration selection.

2605.02867
Robotics

Atomic-Probe Governance for Skill Updates in Compositional Robot Policies

This paper introduces an atomic-quality probe and Hybrid Selector to efficiently govern skill updates in compositional robot policies, improving reliability.

2604.26689
Robotics

AEROS: A Single-Agent Operating Architecture with Embodied Capability Modules

AEROS is a new single-agent operating architecture for robots, using modular capability packages to achieve robust, safe, and extensible task execution.

2604.07039

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