Deep Reinforcement Learning

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Period ending 2026-09-21

27 new papers

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Period ending 2026-09-14

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  1. Deep RL for Fast Long-Horizon Operations Scheduling on NASA's Carruthers Geocorona Observatory Mission

    Jun 20, 2026Alex Zhang, Jackson Craig, Lara WaldropOptimal SchedulingDeep Reinforcement Learning

  2. Meta-Reinforcement Learning via Evolution for Multi-Objective Combinatorial Supply Chain Optimisation

    Jun 20, 2026Rifny Rachman, Bahrul Ilmi Nasution, Josh Tingey +3Constrained Reinforcement LearningMulti-Objective Optimization

  3. Modularized Reinforcement Learning on LLMs: From MDP Creation to Exploration and Learning

    Jun 20, 2026Zhao Yang, Yuxuan Jiang, Ting-Chih Chen +18Deep Reinforcement LearningOff-Policy Evaluation

  4. The Two-Hump Problem: Bridging the Difficulty Gap in Mathematical Reinforcement Learning

    Jun 19, 2026Lucas Fagan, Michele Tarquini, Ali Shehper +6Deep Reinforcement LearningSparse Rewards

  5. FAST: A Framework for Aligned Sampling and Training in Parallel Reinforcement Learning for Autonomous Driving

    Jun 19, 2026Bonan Wang, Letian Tao, Bin Shuai +7Autonomous Driving SimulationAutonomous Driving

  6. Long-Distance Real-World Navigation of the Legged-Wheeled Robot Go2-W Using Deep Reinforcement Learning

    Jun 19, 2026Takaaki Matsuzawa, Kiyoshi Irie, Tomoaki Yoshida +3Legged RobotsAutonomous Navigation

  7. ReFPO: Reflow Regularization for Flow Matching Policy Gradients

    Jun 19, 2026Ge Wang, Yibo Peng, Fan Feng +10Flow-Based PolicyDeep Reinforcement Learning

  8. When Do Intrinsic Rewards Work for Code Reasoning? A Comprehensive Study

    Jun 18, 2026Xiaolong Jin, Xuandong Zhao, Wenbo Guo +2Code GenerationReinforcement Learning With Verifiable Reward

  9. Evolutionary Discovery of Developmental Reward Schedules in Deep Reinforcement Learning

    Jun 18, 2026Alan Nadelsticher RuvalcabaDeep Reinforcement LearningSparse Rewards

  10. Direct Advantage Estimation for Scalable and Sample-efficient Deep Reinforcement Learning

    Jun 18, 2026Hsiao-Ru Pan, Bernhard SchölkopfDeep Reinforcement LearningLatent Dynamics

  11. Augmenting Game AI with Deep Reinforcement Learning

    Jun 18, 2026Alessandro Sestini, Joakim Bergdahl, Amir Baghi +3Deep Reinforcement LearningArtificial Intelligence Systems

  12. Multi-Granular Attention-Driven Reinforcement Learning Framework for Web Intelligent Enhancement Systems

    Jun 18, 2026Navin Chhibber, Deepak Singh, Anokh Kishore +2Deep Reinforcement LearningOnline Data Selection

  13. STARE: Surprisal-Guided Token-Level Advantage Reweighting for Policy Entropy Stability

    Jun 17, 2026Haipeng Luo, Qingfeng Sun, Songli Wu +4Deep Reinforcement LearningSurprisal

  14. ThinkDeception: A Progressive Reinforcement Learning Framework for Interpretable Multimodal Deception Detection

    Jun 17, 2026Jinhao Song, Shan Liang, Yiqun Yue +2DeceptionMultimodal Reasoning

  15. REVES: REvision and VErification--Augmented Training for Test-Time Scaling

    Jun 17, 2026Yuanxin Liu, Ruida Zhou, Xinyan Zhao +6Large Language Model ReasoningTest Time

  16. Beyond Reward Engineering: A Data Recipe for Long-Context Reinforcement Learning

    Jun 17, 2026Xiaoyue Xu, Sikui Zhang, Xiaorong Wang +2Large Language Model ReasoningDeep Reinforcement Learning

  17. SRL: Combining SLIP Model and Reinforcement Learning for Agile Robotic Jumping

    Jun 17, 2026Xiaowen Hu, Linqi Ye, Yudi Zhu +4Scalable Robot LearningIterative Reinforcement Learning

  18. Learning Red Agent Policy from Observations for Neurosymbolic Autonomous Cyber Agents

    Jun 16, 2026Ankita Samaddar, Sandeep Neema, Daniel Balasubramanian +1Deep Reinforcement LearningRed-Teaming

  19. Deep Reinforcement Learning for Minimum Zero-Forcing Sets

    Jun 16, 2026Steve Halley, Maurício GruppiGraph Representation LearningMaximum Independent Set

  20. OmniPlan: An Adaptive Framework for Timely and Near-Optimal Network Planning Optimization

    Jun 16, 2026Longlong Zhu, Jiashuo Yu, Zedi Chen +12Networked SystemsOptimal Scheduling

  21. Shattering the Autoregressive Curse: Dynamic Epistemic Entropy Orchestrated Erasable Reinforcement Learning for LLMs

    Jun 16, 2026Ziliang Wang, Kang An, Faqiang Qian +5Large Language Model ReasoningDeep Reinforcement Learning

  22. See First, Answer Later: Visual Evidence Pre-Alignment via Sufficiency-Driven RL

    Jun 16, 2026Yilian Liu, Sicong Leng, Guoshun Nan +7Visual EvidenceGroup Relative Policy Optimization

  23. Using Cognitive Models to Improve Language Model Simulation of Human Persuasion Games

    Jun 16, 2026Zirui Cheng, Zeyu Shen, Thomas L. Griffiths +1PersuasionLarge Language Model Decision-Making

  24. Closing the Feedback Loop: From Experience Extraction to Insight Governance in Verbal Reinforcement Learning

    Jun 16, 2026Yanwei Cui, Xing Zhang, Yulong Zhang +4Feedback LoopDeep Reinforcement Learning

  25. Memory-Efficient Meta-Reinforcement Learning for Adaptive Safety-Critical Control in Adversarial Spacecraft Proximity Operations

    Jun 16, 2026Alejandro Posadas-Nava, Richard Linares, Minduli WijayatungaControl Barrier FunctionsDeep Reinforcement Learning

  26. TerraTransfer: Learning End-to-End Driving Policies Without Expert Demonstrations

    Jun 16, 2026Zikang Xiong, Weixin Li, Zhouchonghao Wu +6Autonomous DrivingImitation Learning

  27. GeoDisaster: Benchmarking Orchestrated Agents for Operational Disaster Geo-Intelligence

    Jun 15, 2026Maram Hasan, Aman Verma, Savitra Roy +5DisastersGeospatial

  28. DEEPRUBRIC: Evidence-Tree Rubric Supervision for Efficient Reinforcement Learning of Deep Research Agents

    Jun 15, 2026Minghang Zhu, Chuyang Wei, Junhao Xu +3Rubric-Based Reinforcement LearningDeep Research

  29. Infant Spontaneous Movement Noise Improves Exploration in Deep RL

    Jun 15, 2026Francisco M. López, Markus R. Ernst, Francisco Cruz +2Deep Reinforcement LearningEfficient Exploration

  30. HOLO-MPPI: Multi-Scenario Motion Planning via Hierarchical Policy Optimization

    Jun 15, 2026Youngjae Min, Jovin D'sa, Faizan M. Tariq +3Model Predictive Path IntegralDeep Reinforcement Learning

  31. SafeDojo: Safe Reinforcement Learning for VLA via Interactive World Model

    Jun 15, 2026Kai Tang, Peidong Jia, Zhong Chu +15Vision-Language-Action ModelsDeep Reinforcement Learning

  32. PathRouter: Aligning Rewards with Retrieval Quality in Agentic Graph Retrieval-Augmented Generation

    Jun 15, 2026Bo Wang, Heyan Huang, Yaolin Li +6Graph-Based Retrieval Augmented GenerationGraph-Llm Joint

  33. Energy-Efficient Arm Reaching for a Humanoid Robot via Deep Reinforcement Learning with Identified Power Models

    Jun 14, 2026Nestor N. Deniz, Simon Parsons, Fernando Auat CheeinDeep Reinforcement LearningMulti-Task Reinforcement Learning

  34. FlashNav: Ultra-Fast Policy Training for Robot Navigation within 20 Seconds

    Jun 14, 2026Shanze Wang, Yiwei Qian, Xinming Zhang +6Social Robot NavigationDeep Reinforcement Learning

  35. Discovering Lattice Reduction Strategies via Self-Play

    Jun 13, 2026Mohamed Malhou, Kristin Lauter, Ludovic PerretLatticeDeep Reinforcement Learning

  36. StarOR: Synergizing Tree Search and Test-Time Reinforcement Learning for Optimization Modeling

    Jun 13, 2026Jiajun Li, Yu Ding, Shisi Guan +2Llm-Based Optimization ModelingDeep Reinforcement Learning

  37. Safe Reinforcement Learning of Autonomous Highway Driving: A Unified Framework for Safety and Efficiency

    Jun 12, 2026Chufei Yan, Zhihao Cui, Yiyan Lv +3Autonomous DrivingDeep Reinforcement Learning

  38. Provably Safe, Yet Scalable Reinforcement Learning

    Jun 12, 2026Kai S. Yun, Zeyang Li, Navid AzizanDeep Reinforcement LearningSafety Constraints

  39. CSPO: Constraint-Sensitive Policy Optimization for Safe Reinforcement Learning

    Jun 12, 2026Ayoub Belouadah, Sylvain Kubler, Yves Le TraonConstrained Reinforcement LearningSafety Constraints

  40. Shielded Analysis: Certification and Characterization of Defensibility in Systems under Adversarial Interaction

    Jun 11, 2026Achraf Hsain, Sultan AlmuhammadiDefense StrategiesRuntime Enforcement

  41. SENTINEL: Failure-Driven Reinforcement Learning for Training Tool-Using Language Model Agents

    Jun 11, 2026Ziyi Wang, Yuxuan Lu, Yimeng Zhang +8Personalized Large Language Model AgentsDeep Reinforcement Learning

  42. Graph Reinforcement Learning for Calibration-Aware Quantum Circuit Routing

    Jun 11, 2026Yash Vardhan Tomar, Dheeraj PeddireddyQuantum Circuit SimulationQuantization

  43. Stubborn: A Streamlined and Unified Reinforcement Learning Framework for Robust Motion Tracking and Fall Recovery for Humanoids

    Jun 11, 2026Xiao Ren, Yuhui Yang, Zongbiao Weng +2Long-Tail Humanoid Whole-Body ControlPerceptive Locomotion Policies

  44. Verifiable Environments Are LEGO Bricks: Recursive Composition for Reasoning Generalization

    Jun 10, 2026Hao Xiang, Qiaoyu Tang, Le Yu +8Reinforcement Learning With Verifiable RewardDeepmind Control Suite

  45. Breaking Entropy Bounds: Accelerating RL Training via MTP with Rejection Sampling

    Jun 10, 2026Yucheng Li, Huiqiang Jiang, Yang Xu +14Reinforcement Learning Post-TrainingDeep Reinforcement Learning

  46. Reinforcement Learning Disrupts Gradient-Based Adversarial Optimization

    Jun 10, 2026Xinhai Zou, Chang Zhao, Alireza Aghabagherloo +3Adversarial TransferabilityAdversarial Training

  47. The Artificial Experimentalist: Discovery and Control of Self-Organizing Phenomena with Autotelic Reinforcement Learning

    Jun 10, 2026Marko Cvjetko, Benedikt Hartl, Michael Levin +2Self-OrganizationNeural Cellular Automata

  48. KinematicRL: A Sim-to-Real Reinforcement Learning Framework For Social Navigation With Kinodynamic Feasibility

    Jun 10, 2026Zhiming Xu, Haodong Yang, Chengju Liu +2Social Robot NavigationZero-Shot Sim-To-Real Transfer

  49. Fine-tuning Multi-modal LLMs with ART: Art-based Reinforcement Training

    Jun 10, 2026Michal Chudoba, Sergey Alyaev, Petra Galuscakova +1Large Language Model Fine-TuningMulti-Modal Large Language Models

  50. AllDayNav: Lifelong Navigation via Real-World Reinforcement Learning

    Jun 9, 2026Hang Yin, Yinan Liang, Jiazhao Zhang +4Embodied NavigationNavigation

  51. GUIDE: Goal-Initialized Directional Understanding for End-to-End Visual Navigation

    Jun 9, 2026Liang Wang, Jin Jin, KanZhong Yao +6Object Goal NavigationLegged Robots

  52. MODIP: Efficient Model-Based Optimization for Diffusion Policies

    Jun 9, 2026Zakariae El Asri, Philippe Gratias-Quiquandon, Nicolas Thome +1Diffusion PoliciesDeep Reinforcement Learning

  53. How Does Reasoning Flow? Tracing Attention-Induced Information Flow for Targeted RL in LLMs

    Jun 9, 2026Zhichen Dong, Yang Li, Yuhan Sun +9Large Language Model ReasoningCredit Assignment

  54. Representation-Aware Advantage Estimation: Your Reward Model Provides More Than A Scalar Output

    Jun 9, 2026Guozheng Li, Xiyan Fu, Yiwen GuoReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  55. Mitigating Bias in Low-SNR Financial Reinforcement Learning via Quantum Representations

    Jun 9, 2026Zeyu Liu, Xuanzhi Feng, Sing Kwong Lai +6Soft Actor-CriticDeep Reinforcement Learning

  56. Seeing Before Colliding: Anticipatory Safe RL with Frozen Vision-Language Models

    Jun 9, 2026Samuel Tetteh, Cody FlemingSafety ConstraintsConstrained Reinforcement Learning

  57. Discovering Interpretable Multi-Parameter Control Policies for Evolutionary Algorithms Using Deep Reinforcement Learning

    Jun 8, 2026Tai Nguyen, Phong Le, Carola Doerr +1Deep Q-NetworksControl System Operator Learning

  58. Safe-RULE: Safe Reinforcement UnLEarning

    Jun 8, 2026Shixiong Jiang, Taozheng Zhu, Fanxin KongOffline Reinforcement LearningDeep Reinforcement Learning

  59. CapRL++: Unified Reinforcement Learning with Verifiable Rewards for Dense Image and Video Captioning

    Jun 8, 2026Penghui Yang, Long Xing, Xiaoyi Dong +10Video CaptioningMultimodal Pretraining

  60. PBSD: Privileged Bayesian Self-Distillation for Long-Horizon Credit Assignment

    Jun 8, 2026Yang Tian, Rui Wang, Xumeng Wen +5Credit AssignmentSparse Rewards