Summary of Provably Efficient Exploration in Reward Machines with Low Regret, by Hippolyte Bourel et al.
Provably Efficient Exploration in Reward Machines with Low Regretby Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard,…
Provably Efficient Exploration in Reward Machines with Low Regretby Hippolyte Bourel, Anders Jonsson, Odalric-Ambrym Maillard,…
FFCG: Effective and Fast Family Column Generation for Solving Large-Scale Linear Programby Yi-Xiang Hu, Feng…
Optimistic Critic Reconstruction and Constrained Fine-Tuning for General Offline-to-Online RLby Qin-Wen Luo, Ming-Kun Xie, Ye-Wen…
HuatuoGPT-o1, Towards Medical Complex Reasoning with LLMsby Junying Chen, Zhenyang Cai, Ke Ji, Xidong Wang,…
Constraint-Adaptive Policy Switching for Offline Safe Reinforcement Learningby Yassine Chemingui, Aryan Deshwal, Honghao Wei, Alan…
Accelerating AIGC Services with Latent Action Diffusion Scheduling in Edge Networksby Changfu Xu, Jianxiong Guo,…
Navigating Data Corruption in Machine Learning: Balancing Quality, Quantity, and Imputation Strategiesby Qi Liu, Wanjing…
Stochastic Control for Fine-tuning Diffusion Models: Optimality, Regularity, and Convergenceby Yinbin Han, Meisam Razaviyayn, Renyuan…
HyperQ-Opt: Q-learning for Hyperparameter Optimizationby Md. Tarek HasanFirst submitted to arxiv on: 23 Dec 2024CategoriesMain:…
Active Geospatial Search for Efficient Tenant Eviction Outreachby Anindya Sarkar, Alex DiChristofano, Sanmay Das, Patrick…