Deep Reinforcement Learning

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Period ending 2026-09-21

29 new papers

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Period ending 2026-09-14

14 new papers

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Period ending 2026-09-07

29 new papers

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  1. Access Timing as Scaffolding: A Reinforcement Learning Approach to GenAI in Education

    May 15, 2026Janne Rotter, Pau Benazet i Montobbio, Davinia Hernández-LeoPedagogyEducation

  2. Nudging Beyond the Comfort Zone: Efficient Strategy-Guided Exploration for RLVR

    May 15, 2026Chanuk Lee, Sangwoo Park, Minki Kang +1Reinforcement Learning With Verifiable RewardVerifiable Rewards

  3. Terrain Consistent Reference-Guided RL for Humanoid Navigation Autonomy

    May 15, 2026William D. Compton, Zachary Olkin, Aaron D. AmesPerceptive Locomotion PoliciesAutonomous Navigation

  4. GRLO: Towards Generalizable Reinforcement Learning in Open-Ended Environments from Zero

    May 14, 2026Shangjian Yin, Yu Fu, Yue Dong +1Reinforcement Learning Post-TrainingReinforcement Learning With Verifiable Reward

  5. DualKV: Shared-Prompt Flash Attention for Efficient RL Training with Large Rollouts and Long Contexts

    May 14, 2026Jiading Gai, Shuai Zhang, Xiang Song +2Quadratic AttentionEfficient Long-Context Inference

  6. Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance

    May 14, 2026Kai Yan, Alexander G. Schwing, Yu-Xiong WangReinforcement Learning With Verifiable RewardVerifiable Rewards

  7. CaMeRL: Collision-Aware and Memory-Enhanced Reinforcement Learning for UAV Navigation in Multi-Scale Obstacle Environments

    May 14, 2026Hong Hong, Feiyu Liao, Yongheng Liang +3Obstacle AvoidanceDeep Reinforcement Learning

  8. Probabilistic Verification of Recurrent Neural Networks for Single and Multi-Agent Reinforcement Learning

    May 14, 2026Luca Marzari, Enrico MarchesiniReinforcement Learning With Verifiable RewardDeep Reinforcement Learning

  9. EARL: Towards a Unified Analysis-Guided Reinforcement Learning Framework for Egocentric Interaction Reasoning and Pixel Grounding

    May 14, 2026Yuejiao Su, Xinshen Zhang, Zhen Ye +3Egocentric VisionDeep Reinforcement Learning

  10. DRL-STAF: A Deep Reinforcement Learning Framework for State-Aware Forecasting of Complex Multivariate Hidden Markov Processes

    May 14, 2026Manrui Jiang, Jingru Huang, Yong Chen +1Hidden Markov ModelsLatent States

  11. Angel or Demon: Investigating the Plasticity Interventions' Impact on Backdoor Threats in Deep Reinforcement Learning

    May 14, 2026Oubo Ma, Ruixiao Lin, Yang Dai +4Backdoor AttacksDeep Reinforcement Learning

  12. Fully Dynamic Rebalancing in Dockless Bike-Sharing Systems via Deep Reinforcement Learning

    May 14, 2026Edoardo Scarpel, Alberto Pettena, Matteo Cederle +3Balanced LearningDeep Reinforcement Learning

  13. A Unified Knowledge Embedded Reinforcement Learning-based Framework for Generalized Capacitated Vehicle Routing Problems

    May 14, 2026Wen Wang, Xiangchen Wu, Liang Wang +2Vehicle Routing ProblemDeep Reinforcement Learning

  14. Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis

    May 14, 2026Yucheng Shi, Zhenwen Liang, Kishan Panaganti +3Reinforcement Learning With Verifiable RewardDeepmind Control Suite

  15. Reinforcement Learning with Semantic Rewards Enables Low-Resource Language Expansion without Alignment Tax

    May 14, 2026Zeli Su, Ziyin Zhang, Zhou Liu +7Group Relative Policy OptimizationDeep Reinforcement Learning

  16. Matrix-Space Reinforcement Learning for Reusing Local Transition Geometry

    May 14, 2026Zuyuan Zhang, Carlee Joe-Wong, Tian LanDeep Reinforcement LearningTransitions

  17. Parallelizing Counterfactual Regret Minimization

    May 14, 2026Juho Kim, Tuomas SandholmImperfect-Information GamesParallel

  18. GenCircuit-RL: Reinforcement Learning from Hierarchical Verification for Genetic Circuit Design

    May 14, 2026Noah FlynnReinforcement Learning With Verifiable RewardVerifiable Rewards

  19. MetaAgent-X : Breaking the Ceiling of Automatic Multi-Agent Systems via End-to-End Reinforcement Learning

    May 14, 2026Yaolun Zhang, Yujie Zhao, Nan Wang +6Multi-Agent SystemsArtificial Intelligence Agents

  20. Safety-Constrained Reinforcement Learning with Post-Training Reachability Verification for Robot Navigation

    May 13, 2026Qisong He, Xinmiao Huang, Jinwei Hu +4Social Robot NavigationSafety Constraints

  21. Learning Selective Merge Policies for Deadline-Constrained Coded Caching via Deep Reinforcement Learning

    May 13, 2026Amirhossein YousefiramandiWireless Resource AllocationDynamic Order Fulfillment Operations

  22. EvoGround: Self-Evolving Video Agents for Video Temporal Grounding

    May 13, 2026Minjoon Jung, Byoung-Tak Zhang, Lorenzo TorresaniVideo Temporal GroundingTemporal Grounding

  23. Beyond Mode-Seeking RL: Trajectory-Balance Post-Training for Diffusion Language Models

    May 13, 2026Saba Ahmadi, Prasanna Parthasarathi, Yufei CuiDiffusion Language ModelsLLM Post-Training Methods

  24. Robot Squid Game: Quadrupedal Locomotion for Traversing Narrow Tunnels

    May 13, 2026Amir Hossain Raj, Dibyendu Das, Xuesu XiaoLegged RobotsSocial Robot Navigation

  25. CO-MAP: A Reinforcement Learning Approach to the Qubit Allocation Problem

    May 13, 2026Ankit Kulshrestha, Xiaoyuan LiuPatient-To-Room Assignment ProblemSwitch

  26. HLS-Seek: QoR-Aware Code Generation for High-Level Synthesis via Proxy Comparative Reward Reinforcement Learning

    May 13, 2026Qingyun Zou, Feng Yu, Hongshi Tan +3High-Level SynthesisDeep Reinforcement Learning

  27. Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy

    May 13, 2026JaeHyeok Doo, Byeongguk Jeon, Seonghyeon Ye +2Flow-Based PolicyMulti-Objective Policy Optimization

  28. Achieving Gold-Medal-Level Olympiad Reasoning via Simple and Unified Scaling

    May 13, 2026Yafu Li, Runzhe Zhan, Haoran Zhang +25Olympiad-Level ProblemNeural Scaling Laws

  29. ICRL: Learning to Internalize Self-Critique with Reinforcement Learning

    May 13, 2026Jianbo Lin, Xiaomin Yu, Yi Xin +7CritiqueUnsupervised On-Policy Self-Distillation

  30. Safe Continual Reinforcement Learning under Nonstationarity via Adaptive Safety Constraints

    May 13, 2026Timofey TomashevskiySafety ConstraintsDeep Reinforcement Learning

  31. From Cumulative Constraints to Adaptive Runtime Safety Control for Nonstationary Reinforcement Learning

    May 13, 2026Timofey TomashevskiySafety ConstraintsDeep Reinforcement Learning

  32. 3D RL-DWA: A Hybrid Reinforcement Learning and Dynamic Window Approach for Goal-Directed Local Navigation in Multi-DoF Robots

    May 12, 2026Chiara Castellani, Enrico Turco, Domenico PrattichizzoSocial Robot NavigationCoverage Path Planning

  33. Learning, Fast and Slow: Towards LLMs That Adapt Continually

    May 12, 2026Rishabh Tiwari, Kusha Sareen, Lakshya A Agrawal +6In-Context LearningCatastrophic Forgetting

  34. Learning Minimally Rigid Graphs with High Realization Counts

    May 12, 2026Oleksandr Slyvka, Jan Rubeš, Rodrigo Alves +1Graph TheoryInvariance

  35. Discrete Flow Matching for Offline-to-Online Reinforcement Learning

    May 12, 2026Fairoz Nower Khan, Nabuat Zaman Nahim, Peizhong JuOffline Reinforcement LearningFlow-Based Policy

  36. Intrinsic Vicarious Conditioning for Deep Reinforcement Learning

    May 12, 2026Rodney A Sanchez, Ferat Sahin, Alex Ororbia +1Deep Reinforcement LearningContinual Learning Methods

  37. On the Importance of Multistability for Horizon Generalization in Reinforcement Learning

    May 12, 2026Asad Bakija, Florent De Geeter, Julien Brandoit +2Deep Reinforcement LearningPartially Observable Markov Decision Process

  38. Rollout Cards: A Reproducibility Standard for Agent Research

    May 12, 2026Charlie Masters, Ziyuan Liu, Stefano V. AlbrechtLong RolloutsReproducibility

  39. High-lift Wing Separation Control via Bayesian Optimization and Deep Reinforcement Learning

    May 12, 2026Ricard Montalà, Bernat Font, Oriol Lehmkuhl +2AerodynamicsIterative Reinforcement Learning

  40. When Simulation Lies: A Sim-to-Real Benchmark and Domain-Randomized RL Recipe for Tool-Use Agents

    May 12, 2026Xiaolin Zhou, Aojie Yuan, Zheng Luo +12Deep Reinforcement LearningSim-To-Real Gap

  41. DORA: Dynamic Online Reinforcement Agent for Token Merging in Vision Transformers

    May 12, 2026Kaixuan He, Song Chen, Yi KangVision TransformerDeep Reinforcement Learning

  42. Drop the Act: Probe-Filtered RL for Faithful Chain-of-Thought Reasoning

    May 12, 2026Swapnil Parekh, Naman GoyalChain-of-Thought ReasoningExplanation Faithfulness

  43. Learning When to Act: Communication-Efficient Reinforcement Learning via Run-Time Assurance

    May 11, 2026Adam Haroon, Erick J. Rodríguez-Seda, Cody Fleming +1Safety ConstraintsLyapunov Function

  44. RankQ: Offline-to-Online Reinforcement Learning via Self-Supervised Action Ranking

    May 11, 2026Andrew Choi, Wei XuOffline Reinforcement LearningJoint Reinforcement Learning

  45. Newton's Lantern: A Reinforcement Learning Framework for Finetuning AC Power Flow Warm Start Models

    May 11, 2026Shourya Bose, Helgi Hilmarsson, Dhruv SuriAc Optimal Power FlowNewton

  46. Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis

    May 11, 2026Richie Yeung, Aleks Kissinger, Rob CornishQuantum Circuit SimulationCircuits

  47. RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards

    May 11, 2026Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang +9Rubric-Based Reinforcement LearningRubrics

  48. Higher Resolution, Better Generalization: Unlocking Visual Scaling in Deep Reinforcement Learning

    May 11, 2026Raphael Trumpp, Ömer Veysel Çağatan, Barış Akgün +1Deep Reinforcement LearningHigh-Resolution

  49. Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

    May 11, 2026Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1Multi-Agent Reinforcement LearningDeep Reinforcement Learning

  50. Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning

    May 11, 2026Zijun Shen, Sihan Yang, Ruichuan An +5Unified Multimodal ModelsSynergy

  51. Causal Explanations from the Geometric Properties of ReLU Neural Networks

    May 11, 2026Hector Woods, Philippa Ryan, Rob AlexanderRectified Linear Unit NetworksCausal Reasoning

  52. Robust Probabilistic Shielding for Safe Offline Reinforcement Learning

    May 11, 2026Maris F. L. Galesloot, Thomas Rhemrev, Nils JansenOffline Reinforcement LearningShielding

  53. Towards Autonomous Railway Operations: A Semi-Hierarchical Deep Reinforcement Learning Approach to the Vehicle Rescheduling Problem

    May 11, 2026Alberto Castagna, Stefan Zahlner, Adrian Egli +4Railway EnvironmentsHierarchical Reinforcement Learning

  54. When Does Non-Uniform Replay Matter in Reinforcement Learning?

    May 11, 2026Michal Korniak, Mikołaj Czarnecki, Yarden As +3Joint Reinforcement LearningImportance Sampling

  55. Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies

    May 11, 2026Matteo Cederle, Saverio Bolognani, Gian Antonio SustoDeep Q-NetworksModel-Free Reinforcement Learning

  56. MTA-RL: Robust Urban Driving via Multi-modal Transformer-based 3D Affordances and Reinforcement Learning

    May 11, 2026Guangli Chen, Dianzhao Li, Wenjian Zhong +2Autonomous Driving3D Scene Understanding

  57. Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning

    May 11, 2026Matteo Cederle, Giacomo Scatto, Gian Antonio SustoAdaptive Traffic Signal ControlFairness Interventions

  58. FormalRewardBench: A Benchmark for Formal Theorem Proving Reward Models

    May 11, 2026Zeynel A. Uluşan, Burak S. Akbudak, Can S. Erer +1TheoremReasoning Benchmark

  59. Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management

    May 10, 2026Prabhjot Singh, Abhishek Gupta, Chris Betz +4Deep Reinforcement LearningOff-Policy Evaluation

  60. One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning

    May 10, 2026Bowen He, Juncheng Dong, Lin Lin +1Deep Reinforcement LearningIn-Context Learning