Papers
Reinforced Cross-Domain Knowledge Distillation on Time Series Data
Qing Xu, Min Wu, Xiaoli Li et al.
Reinforcement Learning Gradients as Vitamin for Online Finetuning Decision Transformers
Kai Yan, Alexander G. Schwing, Yu-Xiong Wang
Reinforcement Learning Guided Semi-Supervised Learning
Marzi Heidari, Hanping Zhang, Yuhong Guo
Reinforcement Learning Policy as Macro Regulator Rather than Macro Placer
Ke Xue, Ruo-Tong Chen, Xi Lin et al.
Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila, Dylan J. Foster, Nan Jiang et al.
Reinforcement Learning with Adaptive Regularization for Safe Control of Critical Systems
Haozhe Tian, Homayoun Hamedmoghadam, Robert Shorten et al.
Reinforcement Learning with Euclidean Data Augmentation for State-Based Continuous Control
Jinzhu Luo, Dingyang Chen, Qi Zhang
Reinforcement Learning with Lookahead Information
Nadav Merlis
Reinforcement Learning with LTL and $\omega$-Regular Objectives via Optimality-Preserving Translation to Average Rewards
Xuan-Bach Le, Dominik Wagner, Leon Witzman et al.
Reinforcing LLM Agents via Policy Optimization with Action Decomposition
Muning Wen, Ziyu Wan, Jun Wang et al.
Rejection via Learning Density Ratios
Alexander Soen, Hisham Husain, Philip Schulz et al.
Relating Hopfield Networks to Episodic Control
Hugo Chateau-Laurent, Frédéric Alexandre
Relational Concept Bottleneck Models
Pietro Barbiero, Francesco Giannini, Gabriele Ciravegna et al.
Relational Verification Leaps Forward with RABBit
Tarun Suresh, Debangshu Banerjee, Gagandeep Singh
Relationship Prompt Learning is Enough for Open-Vocabulary Semantic Segmentation
Jiahao Li, Yang Lu, Yuan Xie et al.
RelBench: A Benchmark for Deep Learning on Relational Databases
Joshua Robinson, Rishabh Ranjan, Weihua Hu et al.
Reliable Learning of Halfspaces under Gaussian Marginals
Ilias Diakonikolas, Lisheng Ren, Nikos Zarifis
ReLIZO: Sample Reusable Linear Interpolation-based Zeroth-order Optimization
Xiaoxing Wang, Xiaohan Qin, Xiaokang Yang et al.
ReMAP: Neural Model Reprogramming with Network Inversion and Retrieval-Augmented Mapping for Adaptive Motion Forecasting
Sharmita Dey, Sarath Ravindran Nair
ReMI: A Dataset for Reasoning with Multiple Images
Mehran Kazemi, Nishanth Dikkala, Ankit Anand et al.
Remix-DiT: Mixing Diffusion Transformers for Multi-Expert Denoising
Gongfan Fang, Xinyin Ma, Xinchao Wang
ReMoDetect: Reward Models Recognize Aligned LLM's Generations
Hyunseok Lee, Jihoon Tack, Jinwoo Shin
Remove that Square Root: A New Efficient Scale-Invariant Version of AdaGrad
Sayantan Choudhury, Nazarii Tupitsa, Nicolas Loizou et al.
ReNO: Enhancing One-step Text-to-Image Models through Reward-based Noise Optimization
Luca Eyring, Shyamgopal Karthik, Karsten Roth et al.
Renovating Names in Open-Vocabulary Segmentation Benchmarks
Haiwen Huang, Songyou Peng, Dan Zhang et al.