Deep Reinforcement Learning

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Period ending 2026-09-21

29 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

Period ending 2026-09-14

14 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

Period ending 2026-09-07

29 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

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712 papers

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  1. OPID: On-Policy Skill Distillation for Agentic Reinforcement Learning

    Jun 25, 2026Shuo Yang, Jinyang Wu, Zhengxi Lu +8On-Policy DistillationAgentic Reinforcement-Learning Framework

  2. Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

    Jun 25, 2026Erhan Bayraktar, Martin Hernandez, Qinxin Yan +1Model-Free Reinforcement LearningStochastic Optimal Control

  3. Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm

    Jun 24, 2026Cheng Ouyang, Moeen Ul Islam, Kaixiang Zhang +3Soft RobotsIterative Reinforcement Learning

  4. Learning Robot Visual Navigation in Crowds via Intention-Aware Scene Representations

    Jun 24, 2026Han Bao, Bingyi Xia, Hanjing Ye +5Social Robot NavigationMenu

  5. Learning to Adapt: Reptile-D-Learning for Robust and Efficient Control Under Parametric Uncertainty

    Jun 24, 2026Haipeng Cao, Zhaolong Shen, Quan QuanLyapunov FunctionDeep Reinforcement Learning

  6. The Generalization Spectrum: A Chromatographic Approach to Evaluating Learning Algorithms

    Jun 24, 2026Jinghan Zhang, Zerui Cheng, Shiqi Chen +5Structural GeneralizationMemorization

  7. Efficient and Trainable Language Model Test-Time Scaling via Local Branch Routing

    Jun 24, 2026Yutong Yin, Mingyu Jin, Jin Pan +12Large Language Model ReasoningTest-Time Scaling

  8. RGB: RL Guided Whole-Body MPPI for Humanoid Control

    Jun 23, 2026Yunsoo Seo, Sol Choi, Euncheol Im +2Model Predictive Path IntegralDeep Reinforcement Learning

  9. Themis: An explainable AI-enabled framework for Reinforcement Learning with Human Feedback

    Jun 23, 2026Andreas Chouliaras, Luke Connolly, Dimitris ChatzpoulosReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  10. Reinforcement Learning Towards Broadly and Persistently Beneficial Models

    Jun 22, 2026Akshay V. Jagadeesh, Rahul K. Arora, Khaled Saab +5Training-Free Reward AlignmentDeep Reinforcement Learning

  11. Closing the Loop: Formally Verified Law as a Reward Signal for Self-Improving Legal AI

    Jun 22, 2026Armin Heydari, Torben LeowaldReinforcement Learning With Verifiable RewardFormal Semantics

  12. Learning Process Rewards via Success Visitation Matching for Efficient RL

    Jun 22, 2026Raymond Tsao, Andrew Wagenmaker, Sergey LevineSparse RewardsDeep Reinforcement Learning

  13. VeriEvol: Scaling Multimodal Mathematical Reasoning via Verifiable Evol-Instruct

    Jun 22, 2026Haoling Li, Kai Zheng, Jie Wu +4Mathematical ReasoningVisual Reasoning

  14. Tmax: A simple recipe for terminal agents

    Jun 22, 2026Hamish Ivison, Junjie Oscar Yin, Rulin Shao +3Deep Reinforcement LearningComputer-Use Agents

  15. FlowTTS-GRPO: Online Reinforcement Learning with Multi-Objective Reward Optimization for Flow-Matching Based Text-to-Speech

    Jun 22, 2026Haoxu Wang, Biao Tian, Weiqin Li +3Flow-GrpoDeep Reinforcement Learning

  16. LOLLA: Deep Reinforcement Learning for Closed-Loop Link Adaptation Towards a GPU-Accelerated AI-RAN

    Jun 22, 2026Rui Wang, Linchao Zhang, Qiang Liu +1Open Radio Access NetworksDeep Reinforcement Learning

  17. PhoneBuddy: Training Open Models for Agentic Phone Use

    Jun 22, 2026Zhengyang Tang, Xin Lai, Pengyuan Lyu +23DeviceDeep Reinforcement Learning

  18. HiL-ResRL: A Model-Agnostic Finetuning Adapter via Human-in-the-loop Residual Reinforcement Learning

    Jun 22, 2026Jingyi Liu, Zhaohong Mai, ShunSen He +5Imitation LearningBehavior Cloning

  19. 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

  20. 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

  21. 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

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

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

  23. 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

  24. 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

  25. ReFPO: Reflow Regularization for Flow Matching Policy Gradients

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

  26. 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

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

    Jun 18, 2026Alan Nadelsticher RuvalcabaDeep Reinforcement LearningSparse Rewards

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

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

  29. CRAX: Fast Safe Reinforcement Learning Benchmarking

    Jun 18, 2026Tristan Tomilin, Mourad Boustani, Mickey Beurskens +1Joint Reinforcement LearningConstrained Reinforcement Learning

  30. Augmenting Game AI with Deep Reinforcement Learning

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

  31. 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

  32. Beyond the Current Observation: Evaluating Multimodal Large Language Models in Controllable Non-Markov Games

    Jun 17, 2026Shengyuan Ding, Xilin Wei, Xinyu Fang +4Multimodal Foundation ModelJoint Reinforcement Learning

  33. Learning User Simulators with Turing Rewards

    Jun 17, 2026Yingshan Susan Wang, Cedegao E. Zhang, Linlu Qiu +5User SimulationSimulation-Based Reinforcement Learning

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

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

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

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

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

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

  37. 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

  38. R2D-RL: A RoboCup 2D Soccer Environment for Multi-Agent Reinforcement Learning

    Jun 17, 2026Haobin Qin, Baofeng Zhang, Hidehisa Akiyama +1Multi-Agent Reinforcement LearningDeepmind Control Suite

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

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

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

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

  41. Deep Reinforcement Learning for Minimum Zero-Forcing Sets

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

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

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

  43. 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

  44. 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

  45. 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

  46. 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

  47. 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

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

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

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

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

  50. 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

  51. Infant Spontaneous Movement Noise Improves Exploration in Deep RL

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

  52. ROSA-RL: Uncertainty-Aware Roundabout Optimized Speed Advisory with Reinforcement Learning

    Jun 15, 2026Anna-Lena Schlamp, Jeremias Gerner, Klaus Bogenberger +2Autonomous DrivingDeepmind Control Suite

  53. 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

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

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

  55. 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

  56. 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

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

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

  58. Discovering Lattice Reduction Strategies via Self-Play

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

  59. 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

  60. 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