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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  1. TRUAV: Distributed Multi-Agent Reinforcement Learning for Trajectory Planning and Routing Enhancement in UAV-Aided IoT-Enabled VANETs

    Jul 26, 2026Muhammad Umar Farooq Qaisar, Lin Zhang, Zhen Chen +3Multi-Uav SystemsInternet Of Thing

  2. Learning to Optimize: Joint Routing and Flow Allocation on Sparse Non-Euclidean Networks

    Jul 26, 2026Haomiao Sun, Fang He, Congyuan Ji +1Vehicle Routing ProblemHeterogeneous Graph Transformers

  3. Beyond Direct Answering: Aligning Educational LLMs as Socratic Guides via Heuristic Reinforcement Learning

    Jul 25, 2026Xiaokun Wang, Siyu Song, Wentao Liu +1Socratic DialogueLarge Language Model Alignment

  4. Skill Self-Play: Pushing the Frontier of LLM Capability with Co-Evolving Skills

    Jul 24, 2026Siyuan Huang, Pengyu Cheng, Haotian Liu +10Skill EvolutionSelf-Evolution

  5. Explainable Reinforcement Learning for assisting Air Traffic Controllers

    Jul 24, 2026Anduel Mehmeti, Gabriella Gigante, Salvatore VenticinqueExplainabilityAir Traffic Control

  6. Integrated Order Dispatching and Routing for Last-Mile Pickup via Deep Reinforcement Learning

    Jul 24, 2026Yida Xu, Zhaofang Mao, Yuheng Miao +2Last MileDynamic Order Fulfillment Operations

  7. Adaptive Undulatory Locomotion of Snake-like Robots in Dynamic Viscous Environments via Deep Reinforcement Learning

    Jul 24, 2026Tsuyoshi Kimoto, Akio Yamano, Kohei Honda +1Adaptive LocomotionIterative Reinforcement Learning

  8. Expert Behavior Prior Reinforcement Learning

    Jul 23, 2026Gong Gao, Weidong Zhao, Xianhui Liu +1Offline Reinforcement LearningDeep Reinforcement Learning

  9. Sample-Efficient Learning from Agent Experience

    Jul 23, 2026Chenhui Gou, Haoqin Tu, Yunhao Fang +2In-Context LearningExperience-Driven Learning

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

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

  11. 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

  12. Active Inference as a Convex Markov Decision Process

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

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

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

  14. Adopting Reinforcement Learning with Verifiable Rewards for Molecular Generation

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

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

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

  16. Measuring Reward-Seeking via Contrastive Belief Updates

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

  17. Exposure-Based Reinforcement Learning to Rank

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

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

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

  19. MADA-RL: Multi-Agent Debate-Aware Reinforcement Learning for Parameter-Efficient Reasoning in Compact Models

    Jul 20, 2026Martino M. L. Pulici, Cuong Xuan Chu, Evgeny Kharlamov +3Deepmind Control SuiteMulti-Agent Debate

  20. A2RL V\textsubscript{max}: The A2RL autonomous racing dataset for long-range, high-speed perception and multi-vehicle interaction

    Jul 20, 2026Marvin Klemp, Dominic Ebner, Cornelius Schröder +15Autonomous RacingAutonomous Driving

  21. Mobile Network Control with a World Model

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

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

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

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

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

  24. Counterfactual Shapley Credit Assignment

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

  25. 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

  26. 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

  27. Building2Building: A Large Scale Benchmark for Generalizable Real-World Reinforcement Learning

    Jul 17, 2026Vincent Taboga, Justin Veilleux, Doseok Jang +2Joint Reinforcement LearningHvac Control

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

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

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

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

  30. When Does Muon Help Agentic Reinforcement Learning?

    Jul 17, 2026Kai Ruan, Jinghao Lin, Zihe Huang +4MuonJoint Reinforcement Learning

  31. 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

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

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

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

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

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

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

  35. 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

  36. 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

  37. 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

  38. 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

  39. 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

  40. 3D Geometric Tooth Alignment Planning via Deep Reinforcement Learning

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

  41. 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

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

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

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

    Jul 15, 2026Slava AndrejevLyapunov FunctionIterative Reinforcement Learning

  44. Explaining Reinforcement Learning Agents via Inductive Logic Programming

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

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

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

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

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

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

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

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

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

  49. 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

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

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

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

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

  52. Heuristic Learning for Active Flow Control Using Coding Agents

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

  53. 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

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

    Jul 12, 2026Ekkachai JuengQ-LearningDeep Reinforcement Learning

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

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

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

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

  57. 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

  58. Adaptive Compute in Latent World Models: When Depth Helps, Hurts, or Doesn't Matter

    Jul 11, 2026Achyuthan SivasankarAutoregressive RolloutDeepmind Control Suite

  59. RL Post-Training Builds Compositional Reasoning Strategies

    Jul 8, 2026Azwar Abdulsalam, Nishil Patel, Andrew SaxeReinforcement Learning Post-TrainingDeepmind Control Suite

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

    Jul 8, 2026Ezgi KorkmazJoint Reinforcement LearningDeep Reinforcement Learning