Safe Reinforcement Learning

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Agentic Reinforcement LearningReinforcement Learning Base-To-Thinking Gap

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Period ending 2026-09-14

11 new papers

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Period ending 2026-09-07

17 new papers

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  1. RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

    Sep 16, 2026Bernd Frauenknecht, Emma Cramer, Artur Eisele +9Safe Reinforcement LearningScalable Robot Learning

  2. Towards Surrogate Based Dequantization of Quantum Reinforcement Learning

    Sep 14, 2026Pablo Rodriguez-Grasa, Sofiene Jerbi, Mikel Sanz +1Q-LearningSafe Reinforcement Learning

  3. Evaluation Metrics for Safe Reinforcement Learning

    Sep 14, 2026Lindsay Spoor, Aske Plaat, Thomas MoerlandSafety BenchmarksSafe Reinforcement Learning

  4. Admissable: Training Reinforcement Learning Agents against Adversarial Missingness

    Sep 14, 2026Paul Stahlhofen, Luca Hermes, Tim Kochs +2Safe Reinforcement LearningScalable Robot Learning

  5. Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

    Sep 14, 2026Ben Opperman, Eduardo Alonso, Esther MondragónSafe Reinforcement LearningLarge State Space

  6. Certifying Lower Bounds for Risk-Sensitive Reinforcement Learning under Adversarial State Perturbations

    Sep 11, 2026Tong Li, Saunak Kumar Panda, Yisha XiangConditional-Value-At-RiskSafe Reinforcement Learning

  7. A Bellman Optimality Equation for Plasticity

    Sep 11, 2026Jeremy Lucas, Doina PrecupPlasticityBellman Equation

  8. CityPlanner: A Sandbox Agent for Executable Urban Planning

    Sep 10, 2026Wentao Zhang, Jingyuan Wang, Zetong Zhou +2Street-View ImagerySandbox

  9. HaWMPO: Hallucination-Aware World Model-based Policy Optimization for Generalist Robot Policy

    Sep 9, 2026Zengjue Chen, Peidong Liu, Jiawei Li +1Robot PoliciesSafe Reinforcement Learning

  10. BRACE: Anchored Bellman-Residual Correction for Stale Critics in Asynchronous RL

    Sep 9, 2026Guanqun Zhao, Zijun Xie, Binbin Zheng +3Safe Reinforcement LearningLarge Language Model Training

  11. HiRAD: A Flexible Large-Scale AGV Routing System

    Sep 9, 2026Yunjie Huang, Ruizhong Wu, Mengxuan Zhang +3Multi-Agent PickupVehicle Routing Problem

  12. Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation

    Sep 8, 2026Jiacheng Xu, Feng Chen, Xiuneng Xu +1AI Code GenerationSafe Reinforcement Learning

  13. PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games

    Sep 8, 2026Ryan Truong, Lance Ying, Samuel J. Gershman +1Safe Reinforcement LearningMotion Generation

  14. Which Forms of Caregiver Feedback Support Grammar Learning? A Reinforcement-Learning Study of Child-Like Language Models

    Sep 8, 2026Jing Liu, Marianne Schweitzer, Abdellah FourtassiGrammaticalityNatural Language Feedback

  15. Proactive Context-Forecasted Safety Constraints for Nonstationary Reinforcement Learning

    Sep 8, 2026Tim TomashevskiySafety ConstraintsSafe Reinforcement Learning

  16. HyCO: A Hybrid Neural Solver for Combinatorial Optimization

    Sep 7, 2026Yuheng Li, Di Yang, Haipeng Chen +1Neural SolversCombinatorial Optimization

  17. Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous Environment

    Sep 3, 2026Shuhao Ye, Sitong Mao, Yuxiang Cui +7Vision-And-Language NavigationHigh-Dimensional Action Spaces

  18. From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control

    Sep 3, 2026Vincenzo Norman Vitale, Mohammad Solki, Antonia Maria Tulino +2Software-Defined NetworkingTraffic Signal Control

  19. Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards

    Sep 3, 2026Leqi Zheng, Jinbo Su, Fang Niu +8Verifiable RewardsLLM Reasoning Methods

  20. Tail-Likelihood Reinforcement Learning

    Sep 2, 2026Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar +11Safe Reinforcement Learning

  21. StudentSim: Training LLM-based Student Simulators

    Sep 1, 2026Ke Yang, Chenglong Wang, Michel Galley +4Social SimulationsStudent

  22. Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs

    Sep 1, 2026Jingtan Wang, Arun Verma, Xiaoqiang Lin +4Supervised Fine-TuningBudgets

  23. From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

    Sep 1, 2026Wenhe Sun, Cunxiang Wang, Zijun Yao +1Reinforcement Learning Base-To-Thinking GapLong Rollouts

  24. Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC

    Sep 1, 2026Baha Zarrouki, Arslan Thobani, Jasper Hoffmann +6Safe Reinforcement LearningModel Predictive Control

  25. Independent Reinforcement Learning in Discounted Markov Games

    Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarMean Field GamesMulti-Agent Reinforcement Learning

  26. Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization

    Aug 31, 2026Jingxiao Yang, Wangjie Gan, Yingxuan Zhuang +3Safe Reinforcement LearningCredit Scoring

  27. T3S: Improving Multi-Task Reinforcement Learning with Task-Specific Feature Selector and Scheduler

    Aug 31, 2026Yuanqiang Yu, Tianpei Yang, Yongliang Lv +2Multi-Task Reinforcement LearningMulti--Task Learning

  28. Augmenting Human Performance with an XR Agent Learning from Online Behavior and BCI Evidence

    Aug 31, 2026Ziheng Li, Xichen He, Haoyan Chen +10Human-In-The-LoopBrain-Computer Interface

  29. Reinforcement Learning for Symbolic Equation Solving

    Aug 31, 2026Kevin P O KeeffeSafe Reinforcement LearningConflict-Based Search

  30. Uncertainty-Driven Replay Memory for Reinforcement Learning

    Aug 30, 2026Sheeraja Rajakrishnan, Alexander G. Ororbia, Travis Desell +1Safe Reinforcement LearningTransitions

  31. SmoothRL: Online Reinforcement Learning During Asynchronous Execution

    Aug 30, 2026Guang Gao, Yuxuan Nong, Baifu Huang +1Asynchronous ExecutionSafe Reinforcement Learning

  32. ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents

    Aug 22, 2026Xiaoyu Wang, Qingqing Gu, Yue Zhao +5Hierarchical Reinforcement LearningAgentic Reinforcement Learning

  33. Temporal GRPO: Beyond Trajectory-Level Credit in Vision-Language-Action Reinforcement Learning

    Aug 13, 2026Yao Zhou, Hang Gao, Fengge Wu +2Repair-Based Group-Relative Policy OptimizationDiffusion-Based Vision-Language-Actions

  34. Towards Socially Compliant Navigation in Deep Reinforcement Learning via Proxemics-Based Reward Modeling

    Aug 13, 2026Takieddine Soualhi, Jacques Saraydaryan, Laetitia MatignonRobot NavigationNavigation

  35. Revisiting Overestimation Bias Problem of Q-learning: Settling Large Discrete Action Space via Action Intersection

    Aug 13, 2026Pu Li, Tao Tan, Hong Xie +2Q-LearningHigh-Dimensional Action Spaces

  36. SCOUT: Unlocking Enhanced Spatial Reasoning via Structured Chain-of-Thought and Multi-Objective Process Reward

    Aug 12, 2026Zile Zhou, Huining Yuan, Weichen Zhang +23D Spatial ReasoningSpatial Reasoning

  37. LoongReflect: Boosting Long-Horizon Reflection in Search Agents via Global Perspective Distillation

    Aug 12, 2026Zhixin Zhang, Xinke Jiang, Zhibang Yang +5Long-Horizon AgentsAgentic Reinforcement Learning

  38. When the API Speaks the Wrong Language: Revisiting Post-Training for Multilingual Tool Use

    Aug 12, 2026Siddharth Chauhan, Thomas Butler, Abhishek Singhania +2MultilingualSupervised Fine-Tuning

  39. VidForensics-M1: Meta-Detection Reinforcement Learning with Verifiable Temporal Grounding for AI-Generated Video Forensics

    Aug 11, 2026Bowei Liu, Zheng Lu, Yuhan Bian +8ForgeriesDigital Forensics

  40. Test-Time Self-Evolving GUI Visual Grounding via Reflection-Guided On-Policy Self-Distillation

    Aug 11, 2026Shiyu Xuan, Zechao LiGraphical User InterfaceGraphical User Interface Agents

  41. FADE: From Passive Verification to Active Discovery in Counterfactual Video Understanding

    Aug 11, 2026Fufangchen Zhao, Jinhu Fu, Jiachen Lei +3Video UnderstandingCounterfactual Reasoning

  42. SKILLER: Language-Level Reinforcement Learning for Reusable Skill Extraction in Small Language Models

    Aug 11, 2026Chenhao Dang, Siyuan Xiong, Conghui He +1Small Large Language ModelsAgentic Reinforcement Learning

  43. SafeCap: Improving LVLM Safety with Image Captioning Reinforcement Learning

    Aug 11, 2026Caoyuan Ma, Wenpu Liu, Weichu Xie +12Dense Video CaptioningSafeguard

  44. TideRL: Boosting Agentic RL Goodput with Readiness-Aware Scheduling

    Aug 11, 2026Yanyu Ren, Xizheng Wang, Xiao Liu +8Safe Reinforcement LearningThroughput

  45. Efficient Reinforcement Learning for Long-Horizon Tool-Use Agentic Tasks

    Aug 11, 2026Zelei Cheng, Amritansh Mishra, Sambit Sahu +1Agentic Reinforcement LearningLong-Horizon Agents

  46. Boundary-Seeking Policy Gradient for Safe Reinforcement Learning

    Aug 10, 2026Chenhua Fan, Jiahui Zhu, Yuhang Zhang +1Policy GradientSafety Constraints

  47. Parameter Exploration for RLVR via Variational Learning

    Aug 10, 2026Vatsal Venkatkrishna, Nico Daheim, Iryna GurevychReinforcement Learning Base-To-Thinking GapRelative Policy Optimization

  48. AudioMap: Cloze-and-Choice Reinforcement Learning for Time-Aware Dense Audio Captioning

    Aug 10, 2026Yan Rong, Fengji Ma, Xu Li +3Audio Generation and ProcessingSafe Reinforcement Learning

  49. CoRE: Consensus Rewards via Equilibrium for Test-Time Reinforcement Learning

    Aug 10, 2026Ambuj Mehrish, Sebastiano VasconSafe Reinforcement LearningConsensus

  50. RL-Native Distillation: Exploiting Scored Trajectories for Few-Step Image Generation

    Aug 10, 2026Yuhan Li, Fangao Zeng, Sicong Kang +5Dataset DistillationSafe Reinforcement Learning

  51. SpeedTuning: Speeding Up Policy Execution with Lightweight Reinforcement Learning

    Aug 10, 2026David D. Yuan, Tony Z. Zhao, Kaylee Burns +1Robotic Manipulation PoliciesRobotic Manipulation

  52. RISE-RL: Rubric-Informed Selective Exploration for Open-Ended Reinforcement Learning

    Aug 10, 2026Jinkun Hou, Zhuo Liu, Huimin Ren +3Rubric-Based Reinforcement LearningSafe Reinforcement Learning

  53. Catastrophic Forgetting in Continual Reinforcement Learning

    Aug 9, 2026Emma GrahamCatastrophic ForgettingForgetting

  54. Knowledge-Distilled End-to-End Reinforcement Learning for Smooth 6-DOF Thrust Control and Rapid Adaptation to Ocean Currents in Remotely Operated Vehicles

    Aug 9, 2026Tiankuang Wen, Huiping Li, Gang Liu +1Robust ControlProximal Policy Optimization

  55. VTO: Visual Tool Orchestration for Video Anomaly Detection

    Aug 8, 2026Rui Wang, Yeteng Wu, Xianling Zhang +1Video Anomaly DetectionFine-Grained Video Understanding

  56. V-Simba: Unleashing the Architectural Potential of RL in Visual Continuous Control

    Aug 8, 2026Donghu Kim, Youngdo Lee, Hojoon Lee +6Simulation-Based Reinforcement LearningSafe Reinforcement Learning

  57. Interpretable reinforcement learning with decision-tree pruning

    Aug 7, 2026Mark Leon Ringer, Michel TokicSafe Reinforcement LearningModel Interpretability Methods

  58. Beyond Isolation: Unlocking Reinforcement Learning Component Synergy for Sample-Efficient Continuous Control

    Aug 7, 2026Qi Zhao, Guozheng Ma, Yilun Kong +9Safe Reinforcement LearningBeyond Retrieval

  59. IB-RL: Isolated Bilateral Reinforcement Learning for Strategic Dialogue Agents

    Aug 7, 2026Senhao Wang, Chenghao Cai, Haitao Hu +4Safe Reinforcement Learning

  60. Vehicle routing problem using deep reinforcement learning - A case study about truck planning in the industry

    Aug 7, 2026Siliang Lu, Dan Hu, Lili WuVehicle Routing ProblemSafe Reinforcement Learning