From the 1 of 7 linked papers with an AI index.
7 papers
DAGR: State-Conditioned Goal Representations via Difference-Aware Goal Cross-Attention
Xing Lei, Wenyan Yang, Xuetao Zhang +1
The paper proposes DAGR, a method that refines static goal embeddings into state‑conditioned representations using multi‑scale gated cross‑attention, improving performance on navig…
QHyer: Q-conditioned Hybrid Attention-mamba Transformer for Offline Goal-conditioned RL
Xing Lei, Jincheng Wang, Xuetao Zhang +1
Offline goal-conditioned RL (GCRL) learns goal-reaching policies from static datasets, but real-world datasets are often partially observable and history-dependent, exhibiting a mi…
Activation-wise Propagation: A One-Timestep Strategy for Spiking Neural Networks
Jian Song, Xiangfei Yang, Shangke Lyu +1
Spiking neural networks (SNNs) have demonstrated significant potential in real-time multi-sensor perception tasks due to their event-driven and parameter-efficient characteristics.…
Closing the Gap between TD Learning and Supervised Learning with -Conditioned Maximization
Xing Lei, Zifeng Zhuang, Shentao Yang +6
Recently, supervised learning (SL) methodology has emerged as an effective approach for offline reinforcement learning (RL) due to their simplicity, stability, and efficiency. Howe…
GCHR : Goal-Conditioned Hindsight Regularization for Sample-Efficient Reinforcement Learning
Xing Lei, Wenyan Yang, Kaiqiang Ke +4
Goal-conditioned reinforcement learning (GCRL) with sparse rewards remains a fundamental challenge in reinforcement learning. While hindsight experience replay (HER) has shown prom…
Q-WSL: Optimizing Goal-Conditioned RL with Weighted Supervised Learning via Dynamic Programming
Xing Lei, Xuetao Zhang, Zifeng Zhuang +1
A novel class of advanced algorithms, termed Goal-Conditioned Weighted Supervised Learning (GCWSL), has recently emerged to tackle the challenges posed by sparse rewards in goal-co…