Deep Reinforcement Learning

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Period ending 2026-09-21

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  1. Integrating Physics-Informed Neural Networks for Safe Reinforcement Learning in a 1-DoF Helicopter System

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan HuberIterative Reinforcement LearningQuadrotor Control

  2. CLEAR: Closed-Loop Reinforcement Learning at Scale for End-to-End Autonomous Driving

    Jul 3, 2026Yunxiao Shi, Hong Cai, Mohammad Ghavamzadeh +1Autonomous DrivingVision-Language-Action Models

  3. Visually Grounded Self-Reflection for Vision-Language Models via Reinforcement Learning

    Jul 2, 2026Liyan Tang, Fangcong Yin, Greg DurrettLarge Vision Language ModelsReinforcement Learning With Verifiable Reward

  4. Learning Agile Intruder Interception using Differentiable Quadrotor Dynamics

    Jul 2, 2026Michael Anoruo, Xiaoyu Tian, Abhishek Rathod +5Quadrotor ControlDeep Reinforcement Learning

  5. A2^{2}utoLPBench: An Auto-Generated, Agent-Friendly LP Benchmark via Inverse-KKT Construction

    Jul 2, 2026Shuo Ren, Yaohui Han, Yifan Shi +6Physics BenchmarksLlm-Based Agent

  6. ART for Diffusion Sampling: Continuous-Time Control and Actor-Critic Learning

    Jul 2, 2026Yilie Huang, Wenpin Tang, Xun Yu ZhouDiffusion SamplingTimestep

  7. Evidence-State Rewards for Long-Context Reasoning

    Jul 2, 2026Ya Gao, Pekka MarttinenRelation-Conditioned Evidence EncoderLarge Language Model Reasoning

  8. Learning the Supports for Categorical Critic in Reinforcement Learning

    Jul 2, 2026Jen-Yen Chang, Takayuki Osa, Tatsuya HaradaSoft Actor-CriticValue Functions

  9. Lightweight Safe Reinforcement Learning for End-to-End UAV Navigation

    Jul 2, 2026Shenghui Zhang, YuXuan Gao, Songwei Zhao +3Autonomous Drone NavigationDeep Reinforcement Learning

  10. Mean Field Reinforcement Learning

    Jul 1, 2026René Carmona, Mathieu LaurièreMean-Field LimitMulti-Agent Reinforcement Learning

  11. Is One Layer Enough? Training A Single Transformer Layer Can Match Full-Parameter RL Training

    Jul 1, 2026Zijian Zhang, Rizhen Hu, Athanasios Glentis +4Transformer LayersReinforcement Learning Post-Training

  12. AMBUSH: Collaborative Capture in Complex Environments with Neural Acceleration

    Jul 1, 2026Junfeng Chen, YinHang Luo, Xinyi Wang +2Unknown EnvironmentsMonte Carlo Tree Search

  13. Graph-Native Reinforcement Learning Enables Traceable Scientific Hypothesis Generation through Conceptual Recombination

    Jul 1, 2026Subhadeep Pal, Shashwat Sourav, Tirthankar Ghosal +1Hypothesis GenerationData-Driven Materials Discovery

  14. In-Context Reinforcement Learning under Non-Stationarity: A Survey

    Jul 1, 2026A Run, Ziluo DingIn-Context LearningDeep Reinforcement Learning

  15. Adapting Generalist Robot Policies with Semantic Reinforcement Learning

    Jun 30, 2026Jagdeep Singh Bhatia, Andrew Wagenmaker, William Chen +1Robot PoliciesDeep Reinforcement Learning

  16. Z-1: Efficient Reinforcement Learning for Vision-Language-Action Models

    Jun 30, 2026Lang Cao, Renhong Chen, Luyi Li +3Flow-Matching Vision-Language-ActionDeep Reinforcement Learning

  17. Breaking Failure Cascades: Step-Aware Reinforcement Learning for Medical Multimodal Reasoning

    Jun 30, 2026Junha Jung, Minbyul Jeong, Suhyeon Lim +5Multimodal Clinical DataReasoning Failures

  18. FastDSAC: Enhancing Policy Plasticity via Constrained Exploration for Scalable Humanoid Locomotion

    Jun 30, 2026Guanchen Lu, Yajuan Dun, Yi Zhou +4Deep Reinforcement LearningEfficient Exploration

  19. ECHO: Prune To Act, Trace To Learn With Selective Turn Memory In Agentic RL

    Jun 30, 2026Zijun Xie, Binbin Zheng, Enlei Gong +7Agent MemoryMulti-Turn Tool-Use Agent

  20. Robust Autonomous UAV Landing on Maritime Platforms via Multimodal Agentic AI and Active Wave Compensation

    Jun 30, 2026Francisco S. Neves, Pedro N. Pereira, Raul D. S. G. Campilho +1Autonomous Underwater VehiclesMultimodal Agents

  21. Safe Online Learning via Smooth Safety-Structured Policy Composition

    Jun 30, 2026Hongpeng Cao, Liqun Zhao, Yuliang Gu +3Safety ConstraintsDeep Reinforcement Learning

  22. Deep Reinforcement Learning for Spacecraft Attitude Control During Atmospheric Re-Entry

    Jun 30, 2026Alexander Fabisch, Melvin Laux, Mariela De Lucas Álvarez +2Iterative Reinforcement LearningDeep Reinforcement Learning

  23. Warp RL: Reshaping Base Policy Distributions for Dynamics Adaptation

    Jun 30, 2026Ethan Hirschowitz, Fabio RamosDeep Reinforcement LearningGeneralizable Robotic Manipulations

  24. Offline Reinforcement Learning for Fluid Controls: Data-based Multi-observational Policy Extraction

    Jun 30, 2026Deepak Akhare, Luning Sun, Xin-Yang Liu +4Offline Reinforcement LearningDeep Reinforcement Learning

  25. A Three-Phase Foundation Model for Tax-Aware Personalized Portfolio Management

    Jun 30, 2026Ramin PishehvarPortfolio OptimizationDeep Reinforcement Learning

  26. Learning Where to Look: A Reinforcement Learning Framework for Robust Micro-Ultrasound Prostate Cancer Detection

    Jun 29, 2026Mohammad Mahdi Abootorabi, Sina Namazi, Armin Saadat +7UltrasoundMultiple Instance Learning

  27. MOPD: Multi-Teacher On-Policy Distillation for Capability Integration in LLM Post-Training

    Jun 29, 2026Wenhan Ma, Jianyu Wei, Liang Zhao +10Large Language Model Post-TrainingOn-Policy Distillation

  28. Dynamo: Dynamic Skill-Tool Evolution for Vision-Language Agents

    Jun 29, 2026Yutao Sun, Yanting Miao, Hao-Xuan Ma +8Large Vision Language ModelsDynawm

  29. Hierarchical Reinforcement Learning in StarCraft Micromanagement with Influence Maps and Cluster-based Scripts

    Jun 29, 2026Chunhui Bai, Changhe Li, Dequan Li +2Hierarchical Reinforcement LearningDeep Reinforcement Learning

  30. Trust Your Instincts: Confidence-Driven Test-Time RL for Vision-Language-Action Models

    Jun 29, 2026Siyao Chen, Jiakang Yuan, Jiaxin Wang +1Vision-Language-Action ModelsReinforcement Learning With Verifiable Reward

  31. Dual-Flow Reinforcement Learning with State-Aware Exploration

    Jun 29, 2026Qijun Li, Zheng Fu, Qi Song +4Flow-Based PolicyDeep Reinforcement Learning

  32. Consistency as Inductive Bias: Learning Cross-View Invariance for Robust Multimodal Reasoning

    Jun 29, 2026Xin Zou, Haolin Deng, Yibo Yan +6Multimodal ReasoningCross-View

  33. Process Advantage Signal Shaping: A Paradigm-Agnostic Middleware for Process-Supervised RL in LLM Reasoners

    Jun 28, 2026Chao Wang, Hongtao Tian, Tao Yang +3Reliable Medical Process-Level Reward Model Evaluation FrameworkGroup Relative Policy Optimization

  34. Tandem Reinforcement Learning with Verifiable Rewards

    Jun 26, 2026Difan Jiao, Raghav Singhal, Robert West +1Reinforcement Learning With Verifiable RewardVerifiable Rewards

  35. Verifiable Geometry Problem Solving: Solver-Driven Autoformalization and Theorem Proposing

    Jun 26, 2026Can Li, Ting Zhang, Junbo Zhao +1Neuro-Symbolic FrameworkAutoformalization

  36. Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy

    Jun 26, 2026Matthew Vandergrift, Esraa Elelimy, Martha WhiteSimulation-Based Reinforcement LearningDeep Reinforcement Learning

  37. Qwen-Image-2.0-RL Technical Report

    Jun 25, 2026Yixian Xu, Kaiyuan Gao, Yuxiang Chen +25On-Policy DistillationDeep Reinforcement Learning

  38. Learning to Throw: Agile and Accurate Cable-Suspended Payload Delivery with a Quadrotor

    Jun 25, 2026Yifan Zhai, Elia Raimondi, Yunfan Ren +4Quadrotor ControlAerial Manipulation

  39. Retroactive Advantage Correction: Closed-Form V-Trace Bias Correction for Delay-Aware RLHF

    Jun 25, 2026Arnav RajReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  40. Learning to Fold: prizewinning solution at LeHome Challenge 2026 (1st place online, 2nd offline)

    Jun 25, 2026Ilia LarchenkoDeepmind Control SuiteVision-Language-Action Models

  41. State Representation Matters in Deep Reinforcement Learning: Application to Energy Trading

    Jun 25, 2026Jesper Klicks, Sander Vržina, Vincent François-LavetDeep Q-NetworksDeep Reinforcement Learning

  42. PlanRL: A Trajectory Planning Architecture for Reinforcement Learning-based Driving Experts

    Jun 25, 2026Joonhee Lim, Yongjae Lee, Jangho Shin +1Autonomous DrivingDeep Reinforcement Learning

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

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

  44. 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

  45. 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

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

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

  47. 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

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

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

  49. 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

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

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

  51. 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

  52. Reinforcement Learning Towards Broadly and Persistently Beneficial Models

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

  53. 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

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

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

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

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

  56. Tmax: A simple recipe for terminal agents

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

  57. 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

  58. 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

  59. PhoneBuddy: Training Open Models for Agentic Phone Use

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

  60. 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