Shared-unique Features and Task-aware Prioritized Sampling on Multi-task Reinforcement Learningby Po-Shao Lin, Jia-Fong Yeh, Yi-Ting…
Leveraging Knowlegde Graphs for Interpretable Feature Generationby Mohamed Bouadi, Arta Alavi, Salima Benbernou, Mourad OuziriFirst…
Exploring the limits of Hierarchical World Models in Reinforcement Learningby Robin Schiewer, Anand Subramoney, Laurenz…
Activation-Descent Regularization for Input Optimization of ReLU Networksby Hongzhan Yu, Sicun GaoFirst submitted to arxiv…
Embedding-Aligned Language Modelsby Guy Tennenholtz, Yinlam Chow, Chih-Wei Hsu, Lior Shani, Ethan Liang, Craig BoutilierFirst…
Decision Mamba: Reinforcement Learning via Hybrid Selective Sequence Modelingby Sili Huang, Jifeng Hu, Zhejian Yang,…
Enhancing Efficiency of Safe Reinforcement Learning via Sample Manipulationby Shangding Gu, Laixi Shi, Yuhao Ding,…
Amortizing intractable inference in diffusion models for vision, language, and controlby Siddarth Venkatraman, Moksh Jain,…
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationalesby Tianyang Xu, Shujin Wu, Shizhe Diao,…
Bayesian Design Principles for Offline-to-Online Reinforcement Learningby Hao Hu, Yiqin Yang, Jianing Ye, Chengjie Wu,…