Reinforcement Learning

Also known as RL

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144 papers in the last four weeks, up 243% on the four weeks before. 1.4% of all new papers.

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GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes
Apr 1, 2026Saman Khamesian, Sri Harini Balaji, Di Yang Shi +5Reinforcement Learning Type 1 Diabetes
College of Health Solutions, Arizona State University, Phoenix, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA · School for Engineering of Matter Transport and Energy, Arizona State University, Tempe, USA +2
Generalizable Dense Reward for Long-Horizon Robotic Tasks
Mar 31, 2026Silong Yong, Stephen Sheng, Carl Qi +6Reinforcement Learning Long-Horizon Robotic Manipulation
Carnegie Mellon University · Amazon Robotics · UT Austin
End-to-End Efficient RL for Linear Bellman Complete MDPs with Deterministic Transitions
Mar 24, 2026Zakaria Mhammedi, Alexander Rakhlin, Nneka OkoloReinforcement Learning Linear Markov Decision Processes
Google Research, NYC · MIT
Learning to Remember: Attentive Reinforcement Learning for Edge Serverless Autoscaling
Mar 21, 2026Faraz Shaikh, Gianluca Reali, Mauro FemminellaRL Control Reinforcement Learning
Department of Engineering, University of Perugia, Perugia, Italy · Consorzio Nazionale Interuniversitario per le Telecomunicazioni (CNIT), 43124 Parma, Italy
DeepStock: Reinforcement Learning with Policy Regularizations for Inventory Management
Mar 20, 2026Yaqi Xie, Xinru Hao, Jiaxi Liu +4Inventory Control Reinforcement Learning
Booth School of Business, University of Chicago, Chicago, USA. · Taobao & Tmall Group, Hangzhou, China. · School of Economics, Sichuan University, Chengdu, China. +2
Complementary RL: Towards Efficient Experience-Driven Agent Learning
Mar 18, 2026Dilxat Muhtar, Jiashun Liu, Wei Gao +8Reinforcement Learning Sample-Efficient RL
Alibaba Group · HKUST
Hindsight-Anchored Policy Optimization: Learning Through Hindsight with Thompson Sampling-Inspired Adaptive Gating
Mar 11, 2026Yuning Wu, Ke Wang, Haoran Liu +3Reinforcement Learning RL for Language Model Reasoning
Amazon
Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces
Mar 9, 2026Hamish Flynn, Joe Watson, Ingmar Posner +1RL Control Regret Minimization in RL
Carnegie Mellon University · University of Oxford · Technical University of Darmstadt +2
RL unknotter, hard unknots and unknotting number
Mar 9, 2026Anne Dranowski, Yura Kabkov, Daniel TubbenhauerReinforcement Learning
Wiki-R1: Incentivizing Multimodal Reasoning for Knowledge-based VQA via Data and Sampling Curriculum
Mar 5, 2026Shan Ning, Longtian Qiu, Xuming HeVisual Question Answering Reinforcement Learning
ShanghaiTech University, Shanghai, China · Lingang Laboratory, Shanghai, China · Shanghai Engineering Research Center of Intelligent Vision and Imaging
GIPO: Gaussian Importance Sampling Policy Optimization
Mar 4, 2026Chengxuan Lu, Zhenquan Zhang, Shukuan Wang +3Reinforcement Learning RL Post-Training
1IROOTECH TECHNOLOGY · 2Wolf 1069 b Lab, Sany Group
Edit in 2D, Verify in 3D: Reinforcement Learning for Multi-view Consistent Scene Editing
Mar 3, 2026Jiyuan Wang, Chunyu Lin, Lei Sun +8Multi-View Consistency Reinforcement Learning
1BJTU, 2AMap Alibaba Group, 3NTU, 4CQUPT
Conservative Equilibrium Discovery in Offline Game-Theoretic Multiagent Reinforcement Learning
Feb 27, 2026Austin A. Nguyen, Michael P. WellmanReinforcement Learning Game Theory
University of Michigan
Truncated Step-Level Sampling with Process Rewards for Retrieval-Augmented Reasoning
Feb 26, 2026Chris Samarinas, Haw-Shiuan Chang, Hamed ZamaniReinforcement Learning Process Reward Models
Center for Intelligent Information Retrieval University of Massachusetts Amherst Amherst, MA, United States
A Model-Free Universal AI
Feb 26, 2026Yegon Kim, Juho LeeReinforcement Learning Bayesian RL
Graduate School of AI, KAIST, Seoul, South Korea
ARLArena: A Unified Framework for Stable Agentic Reinforcement Learning
Feb 25, 2026Xiaoxuan Wang, Han Zhang, Haixin Wang +11Agentic RL Reinforcement Learning
Department of Computer Science, University of California, Los Angeles, California, USA · University of Wisconsin–Madison, Madison, Wisconsin, USA
Multi-Agent Reinforcement Learning for V2X Resource Allocation: Disentangling MARL Challenges Through Benchmarking
Feb 18, 2026Siyuan Wang, Lei Lei, Pranav Maheshwari +2RL Benchmarks Reinforcement Learning
College of Engineering, University of Guelph, Guelph, Ontario, Canada · College of Electrical Engineering and Computer Sciences, Ningbo University, Ningbo, 315211, China
MyoInteract: A Framework for Fast Prototyping of Biomechanical HCI Tasks using Reinforcement Learning
Feb 16, 2026Ankit Bhattarai, Hannah Selder, Florian Fischer +2Reinforcement Learning Human Behavior Simulation
Center for Scalable Data Analytics and Artificial Intelligence (ScaDS.AI) Dresden/Leipzig, Leipzig University Leipzig, Germany
Calculating Mutual Information between a Reward Maximizer and its Environment
Feb 13, 2026Alfred Harwood, Jose Faustino, Alex AltairMarkov Decision Processes Reinforcement Learning
1Dovetail Research · University of Sao Paulo
TabSieve: Explicit In-Table Evidence Selection for Tabular Prediction
Feb 12, 2026Yongyao Wang, Ziqi Miao, Lu Yang +4In-Context Example Selection Reinforcement Learning
Gaoling School of Artificial Intelligence, Renmin University of China · Shanghai AI Laboratory
Can We Really Learn One Representation to Optimize All Rewards?
Feb 11, 2026Chongyi Zheng, Royina Karegoudra Jayanth, Benjamin EysenbachUnsupervised Learning Representation Learning
Princeton University
Patch the Distribution Mismatch: RL Rewriting Agent for Stable Off-Policy SFT
Feb 11, 2026Jiacheng Wang, Zhijie Liu, Ping Jian +4Supervised Fine-Tuning Reinforcement Learning
Beijing Institute of Technology, Beijing, China · Tsinghua University, Beijing, China
Reinforcement learning with an expectile-based objective
Feb 10, 2026Shrey Rakeshkumar Patel, Sumedh Gupte, Soumen Pachal +2Reinforcement Learning Risk-Sensitive RL
Indian Institute of Technology Madras · TCS Research, India
SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity
Feb 9, 2026Shae McFadden, Myles Foley, Elizabeth Bates +5Reinforcement Learning Cybersecurity
King’s College London · The Alan Turing Institute · University College London +3
Combined Constrained Sampling and Reinforcement Learning for Robotic Manipulation
Feb 9, 2026Marc Toussaint, Cornelius V. Braun, Armand Jordana +5Reinforcement Learning Non-Prehensile Manipulation
Technische Universität Berlin · Robotics Institute Germany · LAAS-CNRS +1
RLinf-USER: A Unified and Extensible System for Real-World Online Policy Learning in Embodied AI
Feb 8, 2026Hongzhi Zang, Shu'ang Yu, Hao Lin +14Robot Policy Learning Reinforcement Learning
1Tsinghua University · 6Shanghai AI Laboratory · 2Infinigence AI +3
rePIRL: Learn PRM with Inverse RL for LLM Reasoning
Feb 8, 2026Xian Wu, Kaijie Zhu, Ying Zhang +2Reinforcement Learning Process Reward Models
Meta AI · Department of Computer Science, University of California, Santa Barbara · Independent Researcher +1
Scalable Dexterous Robot Learning with AR-based Remote Human-Robot Interactions
Feb 7, 2026Yicheng Yang, Ruijiao Li, Lifeng Wang +7Reinforcement Learning Robotic RL
F-GRPO: Don't Let Your Policy Learn the Obvious and Forget the Rare
Feb 6, 2026Daniil Plyusov, Alexey Gorbatovski, Boris Shaposhnikov +4Reinforcement Learning RL for Language Model Reasoning
T-Tech · Saint Petersburg Electrotechnical University “LETI”
On the Role of Computation in Reinforcement Learning
Feb 5, 2026Raj Ghugare, Michał Bortkiewicz, Alicja Ziarko +1Reinforcement Learning Model-Free RL
Department of Computer Science, Princeton University · Warsaw University of Technology · University of Warsaw +2

Apr 1, 2026, cs.LGJ/K move · Enter open · S save

GUIDE: Reinforcement Learning for Behavioral Action Support in Type 1 Diabetes

Saman Khamesian, Sri Harini Balaji, Di Yang Shi, Stephanie M. Carpenter+4

College of Health Solutions, Arizona State University, Phoenix, USA · School of Computing and Augmented Intelligence, Arizona State University, Tempe, USA · School for Engineering of Matter Transport and Energy, Arizona State University, Tempe, USA+2

Reinforcement Learning Type 1 Diabetes Offline RL

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Type 1 diabetes (T1D) management requires continuous adjustment of insulin and lifestyle behaviors to maintain blood glucose within a safe target range. Although automated insulin delivery (AID) systems have improved glycemic outcomes, many patients still fail to achieve recommended clinical targets. Current reinforcement learning (RL)-based methods focus primarily on insulin-only treatment and do not provide behavioral recommendations for glucose control. To address this gap, we propose GUIDE, an RL-based decision-support framework designed to complement AID technologies by providing structured behavioral recommendations defined by intervention type, magnitude, and timing, including bolus insulin administration and carbohydrate intake events. GUIDE integrates a patient-specific glucose predictor trained on real-world continuous glucose monitoring data and supports offline and online RL algorithms within a unified environment. The algorithms are evaluated across 25 individuals from the AZT1D dataset and 12 individuals from the OhioT1DM dataset. Among the evaluated algorithms, CQL-BC achieved the best performance on both datasets, with mean time-in-range values of 84.18

\pm

19.89% on AZT1D and 77.64

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8.81% on OhioT1DM. It also maintained time-below-range values of 0.43

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1.27% and 2.81

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3.56%, respectively. Behavioral analysis yielded mean cosine similarities of 0.767

\pm

0.128 on AZT1D and 0.774

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0.162 on OhioT1DM, indicating that the learned policy preserves key structural characteristics of patient action patterns. These findings demonstrate the potential of conservative offline RL with a structured behavioral action space to provide personalized and behaviorally plausible decision support for diabetes management.

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Latest papers 1,138