4 papers
EDT: Efficient and Effective Decision Transformer with Experience-Aware Sampling for Robotic Manipulation
Kaiyan Zhao, Borong Zhang, Yiming Wang +4
In reinforcement learning (RL) for robotic manipulation, the Decision Transformer (DT) has emerged as an effective framework for addressing long-horizon tasks. However, DT's perfor…
Heuristic Self-Paced Learning for Domain Adaptive Semantic Segmentation under Adverse Conditions
Shiqin Wang, Haoyang Chen, Huaizhou Huang +6
The learning order of semantic classes significantly impacts unsupervised domain adaptation for semantic segmentation, especially under adverse weather conditions. Most existing cu…
Overcoming Overfitting in Reinforcement Learning via Gaussian Process Diffusion Policy
Amornyos Horprasert, Esa Apriaskar, Xingyu Liu +2
One of the key challenges that Reinforcement Learning (RL) faces is its limited capability to adapt to a change of data distribution caused by uncertainties. This challenge arises…
Scene-Aware Explainable Multimodal Trajectory Prediction
Pei Liu, Haipeng Liu, Xingyu Liu +4
Advancements in intelligent technologies have significantly improved navigation in complex traffic environments by enhancing environment perception and trajectory prediction for au…