Papers
ReDS: Offline RL With Heteroskedastic Datasets via Support Constraints
Anikait Singh, Aviral Kumar, Quan Vuong et al.
Red Teaming Deep Neural Networks with Feature Synthesis Tools
Stephen Casper, Tong Bu, Yuxiao Li et al.
Reduced Policy Optimization for Continuous Control with Hard Constraints
Shutong Ding, Jingya Wang, Yali Du et al.
Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
Julien Grand-Clément, Marek Petrik
Reducing Shape-Radiance Ambiguity in Radiance Fields with a Closed-Form Color Estimation Method
Qihang Fang, Yafei Song, Keqiang Li et al.
Reference-Based POMDPs
Edward Kim, Yohan Karunanayake, Hanna Kurniawati
REFINE: A Fine-Grained Medication Recommendation System Using Deep Learning and Personalized Drug Interaction Modeling
Suman Bhoi, Mong Li Lee, Wynne Hsu et al.
Refined Mechanism Design for Approximately Structured Priors via Active Regression
Christos Boutsikas, Petros Drineas, Marios Mertzanidis et al.
Refining Diffusion Planner for Reliable Behavior Synthesis by Automatic Detection of Infeasible Plans
Kyowoon Lee, Seongun Kim, Jaesik Choi
Reflexion: language agents with verbal reinforcement learning
Noah Shinn, Federico Cassano, Ashwin Gopinath et al.
RegBN: Batch Normalization of Multimodal Data with Regularization
Morteza Ghahremani Boozandani, Christian Wachinger
Regression with Cost-based Rejection
Xin Cheng, Yuzhou Cao, Haobo Wang et al.
Regret Matching+: (In)Stability and Fast Convergence in Games
Gabriele Farina, Julien Grand-Clément, Christian Kroer et al.
Regret Minimization via Saddle Point Optimization
Johannes Kirschner, Alireza Bakhtiari, Kushagra Chandak et al.
Regularity as Intrinsic Reward for Free Play
Cansu Sancaktar, Justus Piater, Georg Martius
Regularization properties of adversarially-trained linear regression
Antonio Ribeiro, Dave Zachariah, Francis R. Bach et al.
Regularized Behavior Cloning for Blocking the Leakage of Past Action Information
Seokin Seo, HyeongJoo Hwang, Hongseok Yang et al.
Regularizing Neural Networks with Meta-Learning Generative Models
Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai et al.
Rehearsal Learning for Avoiding Undesired Future
Tian Qin, Tian-Zuo Wang, Zhi-Hua Zhou
Reimagining Synthetic Tabular Data Generation through Data-Centric AI: A Comprehensive Benchmark
Lasse Hansen, Nabeel Seedat, Mihaela van der Schaar et al.
Reinforcement-Enhanced Autoregressive Feature Transformation: Gradient-steered Search in Continuous Space for Postfix Expressions
Dongjie Wang, Meng Xiao, Min Wu et al.
Reinforcement Learning with Fast and Forgetful Memory
Steven Morad, Ryan Kortvelesy, Stephan Liwicki et al.
Reinforcement Learning with Simple Sequence Priors
Tankred Saanum, Noémi Éltető, Peter Dayan et al.