Deep Reinforcement Learning

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Period ending 2026-09-21

27 new papers

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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. Multi-turn RL with Structural and Performance Aware Rewards for CUDA Kernel Generation

    Jul 23, 2026Quazi Ishtiaque Mahmud, Nesreen K. Ahmed, Ali JannesariCudaCode Optimization

  2. Safe and Scalable Multi-Drone Payload Transport via CBF-based Reinforcement Learning with Zero-Shot Sim-to-Real Transfer

    Jul 22, 2026Jaeyoun Choi, Oswin So, Songyuan Zhang +2Multi-Drone CoordinationMulti-Robot Systems

  3. Active Inference as a Convex Markov Decision Process

    Jul 22, 2026Nikola Milosevic, Nicolás Hinrichs, Nico ScherfEntropy Regularized Reinforcement LearningMarkov Decision Processes

  4. REGEN: Replay-recycling for Expert-to-Generalist distillation with Offline Reinforcement Learning

    Jul 21, 2026Yunjie Chen, Xiaoxin Chen, Fang WangOffline Reinforcement LearningDeep Reinforcement Learning

  5. Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation

    Jul 21, 2026Mingxuan Ouyang, Hao Lan, Wanyu LinMolecular GenerationVerifiable Rewards

  6. Athena-Brain Technical Report: An Efficient Robot Brain for General Intelligence and Embodied Interaction

    Jul 21, 2026Jialian Li, Junhong Liu, Yuchen Cao +6EmbodiedIntelligence

  7. Measuring Reward-Seeking via Contrastive Belief Updates

    Jul 21, 2026Axel Højmark, Jérémy Scheurer, Evgenia Nitishinskaya +5Process Reward ModelingDeep Reinforcement Learning

  8. Exposure-Based Reinforcement Learning to Rank

    Jul 21, 2026Harrie Oosterhuis, Rolf Jagerman, Zhen Qin +1Deep Reinforcement Learning

  9. Intelligent Multi-UAV Navigation in ITNTNs: A Hierarchical LLM Approach

    Jul 21, 2026Zijiang Yan, Hao Zhou, Wael Jaafar +4Multi-Uav SystemsUncrewed Aerial Vehicles

  10. Mobile Network Control with a World Model

    Jul 20, 2026Maxime Bouton, Ioanna Mitsioni, Simon Lindståhl +1Networked SystemsMobile Networks

  11. Rethinking the Suitability of Reinforcement Learning Algorithms Under Practical Transfer Constraints

    Jul 19, 2026Hany Hamed, Abhishek Naik, Colin Bellinger +1Deep Reinforcement LearningRandom

  12. WAR: Workload-Aware Rollouts for Synchronous Agentic Reinforcement Learning

    Jul 19, 2026Ryan Xu, Atlas Zhao, David Bao +1Agentic Reinforcement-Learning FrameworkRollout

  13. Counterfactual Shapley Credit Assignment

    Jul 18, 2026Mingxuan Li, Kai-Zhan Lee, Elias BareinboimCredit AssignmentCounterfactual Rollouts

  14. A Deep Reinforcement Learning Algorithm for the Vehicle Routing Problem with Stochastic Demands and Outsourcing

    Jul 18, 2026Mohsen Dastpak, Fausto Errico, Ola JabaliVehicle Routing ProblemLast Mile

  15. FUSAR-R1: A Large-Scale Reasoning Model for Intelligent Interpretation of SAR Images

    Jul 18, 2026Yi Yang, Xiaokun Zhang, Yuxuan Li +3Synthetic Aperture RadarLarge Vision Language Models

  16. Certifiable Safe Model-Based Reinforcement Learning with Control-Affine Dynamics Approximation

    Jul 17, 2026Hao Zhou, Yanze Zhang, Cameron Reid +1Control Barrier FunctionsScalable Robot Learning

  17. Interactive Training 2: Auditable Control Plane for Live Model Training

    Jul 17, 2026Wentao Zhang, Xuanhe Pan, Han Zhou +2Model TrainingHuman-In-The-Loop

  18. CLaC@FinMMEval 2026 Task 3: Sentiment-Augmented Deep Reinforcement Learning for Active Trading -- An Alpha-Reward Approach

    Jul 17, 2026Andrei Neagu, Eeham Khan, Leila KosseimDeep Reinforcement LearningDeep Q-Networks

  19. Robustness of Reinforcement Learning-Based Congestion Management in Low-Voltage Grids

    Jul 17, 2026Josef Hoppe, Sarra Bouchkati, Farah Nasr +7Congestion MitigationIterative Reinforcement Learning

  20. Data and Learning Where it Matters for Contact-Rich Manipulation

    Jul 17, 2026Oliver Hausdörfer, Linus Schwarz, Gabor Marko +7Data CollectionRobotic Manipulation Policies

  21. Learning Reach-Avoid Task with Reinforcement Learning: Vectorized Simulation and Benchmark

    Jul 17, 2026Jonas Weihing, Shahram EivaziObstacle AvoidanceDeep Reinforcement Learning

  22. QUADS: Stabilizing NVFP4 Reinforcement Learning for MoE via QUantization-error Alignment across Dual Sides

    Jul 17, 2026Zhengyang Zhuge, Hao Yu, Xin Wang +4RolloutTraining-Inference Mismatch

  23. Difference-Based Relational Learning for Zero-Shot Object-Goal Visual Navigation With Direct Sim-to-Real Transfer

    Jul 17, 2026Guolei Qi, Feitian ZhangZero-Shot Sim-To-Real TransferVision-Language Navigation

  24. Multi-Axis Max@K Reinforcement Learning for Representative Diversity in Text-to-Image Generation

    Jul 16, 2026Ku Onoda, Paavo Parmas, Hiroki Furuta +4Text-To-ImageText-To-Image Diffusion Models

  25. LongStraw: Long-Context RL Beyond 2M Tokens under a Fixed GPU Budget

    Jul 16, 2026Changhai Zhou, Kieran Liu, Yuhua Zhou +17Efficient Long-Context InferenceLLM Inference Efficiency

  26. SEED: Self-Evolving On-Policy Distillation for Agentic Reinforcement Learning

    Jul 16, 2026Jinyang Wu, Shuo Yang, Zhengxi Lu +8Agentic Reinforcement-Learning FrameworkUnsupervised On-Policy Self-Distillation

  27. 3D Geometric Tooth Alignment Planning via Deep Reinforcement Learning

    Jul 16, 2026Yong Li, Jianwen Lou, Jiayue Ma +33D GeometryDeep Reinforcement Learning

  28. A Continuous-Time Reinforcement Learning Framework for Fine-Tuning Discrete Diffusion Models

    Jul 16, 2026Zikun Zhang, Jiayuan Sheng, David D. Yao +1Diffusion PoliciesScore-Based Diffusion Model

  29. Lighthouse RL: Sample-Efficient Circuit Optimization via Strategic Reset Points

    Jul 15, 2026Mustafa Emre Gürsoy, Stefan Uhlich, Ryoga Matsuo +6Analog CircuitsDeep Reinforcement Learning

  30. Lyapunov Exponent as Physics-Informed Dense Reward: RL Discovery of Stabilization Beyond the Kapitza Pendulum

    Jul 15, 2026Slava AndrejevLyapunov FunctionIterative Reinforcement Learning

  31. Explaining Reinforcement Learning Agents via Inductive Logic Programming

    Jul 15, 2026Celeste Veronese, Edoardo Zorzi, Daniele Meli +1Deep Reinforcement LearningInductive Logic Programming

  32. Branching Policy Optimization: Sandbox-Native Language Agent Reinforcement Learning

    Jul 15, 2026Bowei He, Yankai Chen, Xiaokun Zhang +1Deep Reinforcement LearningSandbox

  33. Structured Reinforcement Learning for Bayesian Persuasion : Application to Intelligent Interactive Driving

    Jul 15, 2026Merlin Paul, Anup ApremAdaptive Traffic Signal ControlAutonomous Driving

  34. GFlowRL: Scaling Distribution-Matching RL to Large Language Models

    Jul 15, 2026Xiaodong Liu, Michael Xu, Jack W. Stokes +3Generative Flow NetworksDeep Reinforcement Learning

  35. SteinGate: Tail-Sensitive Safe Reinforcement Learning via Stein Discrepancy

    Jul 14, 2026Yassine Chemingui, Chenhua Fan, Honghao Wei +1Safety ConstraintsDeep Reinforcement Learning

  36. OOD-RL-Bench: A Benchmark Framework for Out-of-Distribution Detection in Reinforcement Learning

    Jul 14, 2026Emil Mittag, Richard Dazeley, Peter VamplewOut-Of-Distribution DetectionOut-Of-Distribution

  37. A Minimalist Retargeting-Guided Reinforcement Learning Recipe for Dexterous Manipulation

    Jul 13, 2026Yunhai Feng, Natalie Leung, Jiaxuan Wang +3Robotic Manipulation PoliciesMotion Retargeting

  38. Time-Lag-Aware Deep Reinforcement Learning for Flexible Job-Shop Scheduling in PPVC Module Factories

    Jul 13, 2026Ziheng Zhang, Wei ZhangCircular FactoryDeep Reinforcement Learning

  39. Heuristic Learning for Active Flow Control Using Coding Agents

    Jul 13, 2026Paul Garnier, Jonathan Viquerat, Elie HachemDeep Reinforcement LearningHeuristics

  40. SCALECUA: Scaling Computer Use Agents with Verifiable Task Synthesis and Efficient Online RL

    Jul 13, 2026Bowen Lv, Xiao Liu, Yanyu Ren +7Computer-Use AgentsAgentic Reinforcement-Learning Framework

  41. Q-Learning Lab: Teaching Reinforcement Learning Through Learner-Generated Trace Analysis

    Jul 12, 2026Ekkachai JuengQ-LearningDeep Reinforcement Learning

  42. Calibration-First Reward-Component Auditing for Reinforcement Learning Control in Smart Greenhouses

    Jul 12, 2026Yuhui Bie, Guowei Xu, Yaojun WangIterative Reinforcement LearningMediterranean Greenhouses

  43. UNIBROWSE: A Data-to-Agent Framework for Multimodal BrowseComp

    Jul 12, 2026Xiyu Wei, Qingwei Zong, Zhuocheng Yu +1Multimodal Search AgentsWeb Agents

  44. Measure the Sim-to-Real Gap: Designing an Affordable Real-World Benchmark Platform for Reinforcement Learning in AIoT Systems

    Jul 11, 2026Rongping Zhou, Omid Tavallaie, Shuaijun Chen +1Sim-To-Real GapJoint Reinforcement Learning

  45. Principled Analysis of Deep Reinforcement Learning Evaluation and Design Paradigms

    Jul 8, 2026Ezgi KorkmazJoint Reinforcement LearningDeep Reinforcement Learning

  46. Length Penalties Make Chain-of-Thought Less Monitorable

    Jul 8, 2026Bryce LittleChain-of-Thought ReasoningPenalties

  47. Safe Reinforcement Learning using Ideas from Model Predictive Control

    Jul 8, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Safety ConstraintsIterative Reinforcement Learning

  48. FootsiesGym: A Fighting Game Benchmark for Two-Player Zero-Sum Imperfect-Information Games

    Jul 7, 2026Chase McDonald, Nathan Tsang, Wesley N. KerrImperfect-Information GamesFootsiesgym

  49. CurateEvo: Data-Curation Evolving for Agentic Post-Training

    Jul 7, 2026Dingzirui Wang, Xuanliang Zhang, Keyan Xu +2Data-CurationSelf-Evolving Agents

  50. Can Reinforcement Learning Efficiently Discover Price Manipulation?

    Jul 7, 2026Ioanna-Yvonni Tsaknaki, Andrea Macrì, Fabrizio LilloModel-Free Reinforcement LearningDeep Reinforcement Learning

  51. Deep Reinforcement Learning for Reliability Based Bi-Objective Portfolio Optimization

    Jul 7, 2026Sounaq Das, Tanmay Sen, Raghu Nandan Sengupta +1Portfolio OptimizationConditional-Value-At-Risk

  52. Deep Reinforcement Learning for Dynamic Battery Management of Autonomous Order Pickers

    Jul 6, 2026Taniya Shaji, Abhay Sobhanan, Christof DefrynWarehouse AutomationElectric Vehicles

  53. Weak-to-Strong Generalization via Direct On-Policy Distillation

    Jul 6, 2026Shiyuan Feng, Huan-ang Gao, Haohan Chi +7On-Policy DistillationDeep Reinforcement Learning

  54. Relational Multi-Agent Reinforcement Learning for Dynamic Pricing in High-Speed Railway Markets

    Jul 6, 2026Enrique Adrian Villarrubia-Martin, David Muñoz-Valero, Luis Rodriguez-Benitez +2Multi-Agent Reinforcement LearningPrices

  55. Mask-based Predictive Representations for Reinforcement Learning

    Jul 5, 2026Kai ZhaoSelf-SupervisedDeep Reinforcement Learning

  56. Forethought: Verifiable Reasoning from Neurosymbolic Primitive Programming

    Jul 5, 2026Vishvesh Bhat, Jay Vaghasiya, Emmanuel Anaya GonzalezNeuro-Symbolic FrameworkAgentic Reasoning

  57. The Remarkable Effectiveness of Providing AI Agents with Natural Language Tools: A Replication Study Validating NLT Performance Across 14 Models

    Jul 4, 2026Alexander Somma, Isabelle Plante, Fred PremjiAgentic SystemsArtificial Intelligence Agents

  58. Explainable Reinforcement Learning for Adaptive Traffic Signal Control

    Jul 4, 2026Dickens Kwesiga, Nishu Choudhary, Angshuman Guin +1Adaptive Traffic Signal ControlDeep Reinforcement Learning

  59. Agent Reinforcement Learning via Pivotal-Aware Self-Feedback Retry

    Jul 4, 2026Weiyang Guo, Zesheng Shi, Longhui Zhang +3Agentic Reinforcement-Learning FrameworkRetrying

  60. Anticipatory Reinforcement Learning for Trajectory Tracking

    Jul 3, 2026Georg Schäfer, Jakob Rehrl, Stefan Huber +1Iterative Reinforcement LearningDeep Reinforcement Learning