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

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  1. When Critics Disagree: Adaptive Reward Poisoning Attacks in RIS-Aided Wireless Control System

    May 19, 2026Deemah H. Tashman, Soumaya CherkaouiWireless NetworksDeep Reinforcement Learning

  2. A conceptual framework for learning to listen by reward: Curiosity-driven search for novel sources

    May 19, 2026Andreas Triantafyllopoulos, Jakub Šťastný, Alexios Terpinas +3Deep Reinforcement LearningAudio

  3. Beyond Action Residuals: Real-World Robot Policy Steering via Bottleneck Latent Reinforcement Learning

    May 19, 2026Dongjie Yu, Kun Lei, Zhennan Jiang +2Robot PoliciesImitation Learning

  4. GoLongRL: Capability-Oriented Long Context Reinforcement Learning with Multitask Alignment

    May 19, 2026Minxuan Lv, Tiehua Mei, Tanlong Du +9Efficient Long-Context InferenceDeep Reinforcement Learning

  5. Detecting and Mitigating the Correct-Answer Extinction Window in Test-Time Reinforcement Learning with Majority Voting

    May 19, 2026Hongxiang Lin, Zhirui Kuai, Erpeng Xue +1Deep Reinforcement Learning

  6. Aerial Inspection Behaviors via RL-based Quadrotor Control for Under-canopy Forest Environments

    May 19, 2026Fausto Mauricio Lagos Suarez, Akshit Saradagi, Vidya Sumathy +2Quadrotor ControlIterative Reinforcement Learning

  7. General Preference Reinforcement Learning

    May 18, 2026Muhammad Umer, Muhammad Ahmed Mohsin, Ahsan Bilal +5Deep Reinforcement Learning

  8. Unified Walking, Running, and Recovery for Humanoids via State-Dependent Adversarial Motion Priors

    May 18, 2026Yidan Lu, Yichao Zhong, Liu Zhao +2Perceptive Locomotion PoliciesAdversarial Motion Priors

  9. DiPRL: Learning Discrete Programmatic Policies via Architecture Entropy Regularization

    May 18, 2026Chengpeng Hu, Yingqian Zhang, Hendrik BaierDeep Reinforcement LearningKullback-Leibler Regularization

  10. Scheduling That Speaks: An Interpretable Programmatic Reinforcement Learning Framework

    May 18, 2026Chengpeng Hu, Yingqian Zhang, Hendrik BaierSchedulingDeep Reinforcement Learning

  11. Heterogeneous Tasks Offloading in Vehicular Edge Computing: A Federated Meta Deep Reinforcement Learning Approach

    May 18, 2026Yaorong Huang, Jingtao Luo, Xuechao WangHeterogeneous Edge DevicesFederated Reinforcement Learning

  12. Beyond Inference-Time Search: Reinforcement Learning Synthesizes Reusable Solvers

    May 18, 2026Soheyl Massoudi, Gabriel Apaza, Milad Habibi +1Future Llm-Assisted Solver DevelopmentLlm-Based Optimization Modeling

  13. Pairwise Preference Reward and Group-Based Diversity Enhancement for Superior Open-Ended Generation

    May 18, 2026Guining Cao, Jiaxin Peng, Chu Zeng +3Preference AlignmentDiversity

  14. RL4RLA: Teaching ML to Discover Randomized Linear Algebra Algorithms Through Curriculum Design and Graph-Based Search

    May 18, 2026Jinglong Xiong, Xiaotian Liu, Ruoxin Wang +4Deep Reinforcement LearningLearning-Augmented Algorithms

  15. Enhancing the Code Reasoning Capabilities of LLMs via Consistency-based Reinforcement Learning

    May 18, 2026Zhanyue Qin, Jia Feng, Yibo Lyu +4Large Language Model ReasoningLarge Reasoning Models

  16. How Off-Policy Can GRPO Be? Mu-GRPO for Efficient LLM Reinforcement Learning

    May 17, 2026Minghao Tian, Yunfei Xie, Chen WeiGroup Relative Policy OptimizationFlow-Grpo

  17. Deep Reinforcement Learning Framework for Diversified Portfolio Management Across Global Equity Markets

    May 17, 2026Kamil Kashif, Robert ŚlepaczukPortfolio OptimizationDeep Reinforcement Learning

  18. From Imitation to Interaction: Mastering Game of Schnapsen with Shallow Reinforcement Learning

    May 16, 2026Ján Klačan, Sizhong ZhangDeep Reinforcement LearningImitation

  19. Adaptive Outer-Loop Control of Quadrotors via Reinforcement Learning

    May 15, 2026Vishnu Saj, Sushil Vemuri, Dileep Kalathil +1Quadrotor ControlAdaptive Controller

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

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

  21. 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

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

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

  23. 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

  24. 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

  25. 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

  26. 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

  27. 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

  28. 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

  29. 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

  30. 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

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

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

  32. 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

  33. 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

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

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

  35. 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

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

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

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

    May 13, 2026Amirhossein YousefiramandiWireless Resource AllocationDynamic Order Fulfillment Operations

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

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

  39. 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

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

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

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

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

  42. 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

  43. 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

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

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

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

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

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

    May 13, 2026Timofey TomashevskiySafety ConstraintsDeep Reinforcement Learning

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

    May 13, 2026Timofey TomashevskiySafety ConstraintsDeep Reinforcement Learning

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

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

  49. Learning Minimally Rigid Graphs with High Realization Counts

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

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

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

  51. Intrinsic Vicarious Conditioning for Deep Reinforcement Learning

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

  52. 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

  53. Rollout Cards: A Reproducibility Standard for Agent Research

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

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

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

  55. 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

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

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

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

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

  58. 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

  59. 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

  60. Equivariant Reinforcement Learning for Clifford Quantum Circuit Synthesis

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