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. From Ticks to Flows: Dynamics of Neural Reinforcement Learning in Continuous Environments

    Jun 2, 2026Saket Tiwari, Tejas Kotwal, George KonidarisSoft Actor-CriticDeep Reinforcement Learning

  2. RL Excursions during Pre-Training: Re-examining Policy Optimization for LLM training

    Jun 2, 2026Rachit Bansal, Clara Mohri, Tian Qin +2Model PretrainingDeep Reinforcement Learning

  3. Exact Unlearning in Reinforcement Learning

    Jun 2, 2026Thanh Nguyen-Tang, Raman AroraSeveral Approximate Unlearning StrategiesExact Unlearning

  4. Smart Transportation Without Neurons -- Fair Metro Network Expansion with Tabular Reinforcement Learning

    Jun 2, 2026Dimitris Michailidis, Sennay Ghebreab, Fernando P. SantosTransit Network DesignVehicle Routing Problem

  5. Entropy Is Not Enough: Unlocking Effective Reinforcement Learning for Visual Reasoning via Vision-Anchored Token Selection

    Jun 2, 2026Senjie Jin, Peixin Wang, Boyang Liu +8Visual ReasoningVisual Tokens

  6. An LLM-Explainable DRL Framework for Passenger-Directed Autonomous Driving

    Jun 2, 2026Ouided Braoui, Meriem Bouali, Nadir FarhiAutonomous DrivingDeep Reinforcement Learning

  7. Exploiting Verification-Generation Gap: Test-Time Reinforcement Learning with Confidence-Conditioned Verification

    Jun 2, 2026Jiahui Li, Jianfeng Shan, Wenpei Chen +5Reinforcement Learning With Verifiable RewardLarge Language Model Reasoning

  8. Eliciting Complex Spatial Reasoning in MLLMs through Wide-Baseline Matching

    Jun 2, 2026Hao Zhong, Muzhi Zhu, Shenyan Zeng +8Spatial ReasoningFeature Matching

  9. Learning to See via Epiretinal Implant Stimulation in silico with Model-Based Deep Reinforcement Learning

    Jun 2, 2026Jacob Lavoie, Marwan Besrour, William Lemaire +3Retinal ImagingDeep Reinforcement Learning

  10. Hint-Guided Diversified Policy Optimization for LLM Reasoning

    Jun 2, 2026Zhiyu Cao, Kaixin Wu, Mingjie Zhong +4Large Language Model ReasoningReinforcement Learning With Verifiable Reward

  11. Fairness Definitions and Metrics in Deep Reinforcement Learning for Drug Discovery in Healthcare: A Rapid Evidence Review

    Jun 1, 2026Esmaeil Shakeri, Ronnie de Souza Santos, Behrouz FarDrug DiscoveryHealthcare

  12. Position: Deployed Reinforcement Learning should be Continual

    Jun 1, 2026Parnian Behdin, Kevin Roice, Golnaz MesbahiDeep Reinforcement LearningContinual Learning Methods

  13. Faster Synchronous On-Policy RL via Straggler-Aware Group Sizing

    Jun 1, 2026Azal Ahmad Khan, Ammar Ahmed, Zeshan Fayyaz +3Group Relative Policy OptimizationDeep Reinforcement Learning

  14. A Primer in Post-Training Reasoning Data: What We Know About How It Works

    Jun 1, 2026Yaoming Li, Guangxiang Zhao, Qilong Shi +3Table Reasoning DatasetsLLM Post-Training Methods

  15. Explainable Data-driven Deep Reinforcement Learning Methods for Optimal Energy Management in Buildings

    Jun 1, 2026Hallah Shahid Butt, Qiong Huang, Gökhan Demirel +6Deep Reinforcement LearningElectricity Markets

  16. OpenWebRL: Demystifying Online Multi-turn Reinforcement Learning for Visual Web Agents

    Jun 1, 2026Rui Yang, Qianhui Wu, Yuxi Chen +7Web AgentsWeb

  17. Task-Induced Representational Invariances Depend on Learning Objective in Deep RL

    Jun 1, 2026Manu Srinath Halvagal, Sebastian Lee, SueYeon ChungDeep Reinforcement LearningRepresentation Learning

  18. Digital Twin-Assisted Adaptive Multi-Agent DRL for Intelligent Spectrum and Resource Management in Open-RAN UAV-Enabled 6G Networks

    May 31, 2026Marwan Dhuheir, Thang X. Vu, Symeon ChatzinotasMulti-Uav SystemsOpen Radio Access Networks

  19. Deft Scheduling of Dynamic Cloud Workflows with Varying Deadlines via Mixture-of-Experts

    May 31, 2026Ya Shen, Gang Chen, Hui Ma +1SchedulingDeadlines

  20. Lagrangian Perturbation Diffusion Steering: Latent Reinforcement Learning for Generative Policies

    May 31, 2026Hikmet Simsir, Ozgur S. OguzDiffusion PoliciesDeep Reinforcement Learning

  21. MViewRouter: Internalizing Geometric Equivariance via Multi-view Alternating Attention for Combinatorial Routing

    May 31, 2026Shiyan Liu, Bohan Tan, Yaoxin Wu +1Vehicle Routing ProblemAdaptive Routing

  22. A Unified Benchmark for Dynamic Medical Treatment Reinforcement Learning

    May 31, 2026Yuepeng Wang, Ken Kawano, Yoshihiko Fujisawa +12Joint Reinforcement LearningTreatment

  23. Explainable deep reinforcement learning reveals energy-efficient control strategies for turbulent drag reduction

    May 31, 2026Federica Tonti, Ricardo VinuesaMulti-Agent Reinforcement LearningDeep Reinforcement Learning

  24. A Machine-to-Machine Knowledge-Guided LLM Agent for Generalizable Radiotherapy Treatment Planning

    May 30, 2026Md Mainul Abrar, Xun Jia, Yujie ChiRadiotherapyLarge Language Model Planning

  25. Task diversity produces systematic transfer but inhibits continual reinforcement learning

    May 30, 2026Purab Seth, Neil Shah, Kunal Jha +3Transfer LearningDeep Reinforcement Learning

  26. Decoupled Behavioral Cloning for Scalable Inductive Generalization in RL from Specifications

    May 30, 2026Vignesh Subramanian, Subhajit Roy, Suguman BansalBehavior CloningDeep Reinforcement Learning

  27. The Paradox of Outcome Optimization: A Causal Information-Theoretic Bound on Reasoning Shortcuts in LLMs

    May 30, 2026Zihan Chen, Yiming Zhang, Wenxiang Geng +2Causal ReasoningInformation-Theoretic Limits

  28. CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts

    May 30, 2026Rui Zhang, Xinle Wu, Yao LuDeepmind Control SuiteVerifiable Rewards

  29. DRL-Based Pose Control for Double-Ackermann Robots Under Actuation Uncertainties

    May 29, 2026Oussama Zaim, Mélodie Daniel, Aly Magassouba +2Robot SystemsDeep Reinforcement Learning

  30. Robust Shielding for Safe Reinforcement Learning

    May 29, 2026Edwin Hamel-De le Court, Thom Badings, Alessandro Abate +2ShieldingMarkov Decision Processes

  31. Survival Reinforcement Learning: Toward Scalable Self-Supervised RL

    May 29, 2026Franki Nguimatsia-Tiofack, Fabian Schramm, Théotime Le Hellard +1Deep Reinforcement LearningScalable Robot Learning

  32. Why Linear Recurrent Memory Works in Partially Observable Reinforcement Learning

    May 29, 2026Yike Zhao, Onno Eberhard, Malek Khammassi +2Recurrent ModelPartially Observable Markov Decision Process

  33. Enhancing Human-Likeness in Reinforcement Learning Agents via Hierarchical Macro Action Quantization

    May 29, 2026M. Shaheer Luqman, Usman Nizamani, Fawad Javed Fateh +4Hierarchical Reinforcement LearningDeep Reinforcement Learning

  34. A Lecture Note on Offline RL and IRL, Part II: Foundations of Inverse Reinforcement Learning and Dynamic Discrete Choice Models

    May 29, 2026Enoch Hyunwook KangEntropy Regularized Reinforcement LearningOffline Reinforcement Learning

  35. Planner-Centric Reinforcement Learning for Deep Research with Structure-Aware Reward

    May 29, 2026Mustafa Anis Hussain, Xinle Wu, Yao LuLarge Language Model PlanningDeep Research

  36. Learning Agent-Compatible Context Management for Long-Horizon Tasks

    May 29, 2026Lu Yi, Runlin Lei, Liuyi Yao +6Large Language Model AgentsAgentic Reinforcement-Learning Framework

  37. When are LLMs Sufficient Policy Optimizers for Sequential RL Tasks?

    May 29, 2026Stephane Hatgis-Kessell, Emma BrunskillMulti-Objective Policy OptimizationDeep Reinforcement Learning

  38. Universal Decision Learners

    May 29, 2026Sridhar MahadevanDecisionsCounterfactual Rollouts

  39. On Effectiveness and Efficiency of Agentic Tool-calling and RL Training

    May 28, 2026Tong Liu, Cheng Qian, Matej Cief +4CallDeep Reinforcement Learning

  40. Meta-Cognitive Memory Policy Optimization for Long-Horizon LLM Agents

    May 28, 2026Ziyan Liu, Zhezheng Hao, Yeqiu Chen +7Long-Horizon AgentsLarge Language Model Agents

  41. RL2ML: Finite-Rollout Surrogate Objectives from Reinforcement Learning to Maximum Likelihood

    May 28, 2026Yifu ZhengReinforcement Learning With Verifiable RewardDeep Reinforcement Learning

  42. Certified Policy Optimisation for Nested Causal Bandits via PAC-Bayes Risk

    May 28, 2026Tim Woydt, Paul-David ZuercherOptimal PoliciesThompson Sampling

  43. Momentum Based Reward Design for Low Emission Traffic Signal Control

    May 28, 2026Chinmay Mundane, Amith Manoharan, Arun Kumar SinghAdaptive Traffic Signal ControlDeep Reinforcement Learning

  44. GAPD: Gold-Action Policy Distillation for Agentic Reinforcement Learning in Knowledge Base Question Answering

    May 28, 2026Xin Sun, Jianan Xie, Zhongqi Chen +6Agentic Reinforcement-Learning FrameworkDeep Reinforcement Learning

  45. PEARL: Training Socratic Tutors with Pedagogically Aligned Reinforcement Learning

    May 28, 2026Qikai Chang, Zhenrong Zhang, Linbo Chen +4Socratic DialogueCurriculum Reinforcement Learning

  46. DeepTool: Scaling Interleaved Deliberation in Tool-Integrated Reasoning via Process-Supervised Reinforcement Learning

    May 28, 2026Yang He, Xiao Ding, Bibo Cai +5Tool InvocationDeep Reinforcement Learning

  47. On-Policy Replay for Continual Supervised Fine-Tuning

    May 28, 2026Yan Chen, Taojie Zhu, Meng Zhang +4Supervised Fine-TuningCatastrophic Forgetting

  48. ReasonLight: A Multimodal Foundation Model-Enhanced Reinforcement Learning Framework for Zero-Shot Traffic Signal Control

    May 28, 2026Aoyu Pang, Maonan Wang, Yuejiao Xie +3Adaptive Traffic Signal ControlIterative Reinforcement Learning

  49. Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization

    May 28, 2026Shufan Li, Konstantinos Kallidromitis, Akash Gokul +2Group Relative Policy OptimizationMulti-Objective Policy Optimization

  50. unix-ctf: Procedural Environments for Unix-Competence Reinforcement Learning

    May 27, 2026Geoffrey Bradway, Roger Creus Castanyer, Lorenz Wolf +3RobotwinExploitation

  51. TRACER: Turn-level Regret Matching with Inner Reinforcement Credit for Cooperative Multi-LLM Reasoning

    May 27, 2026Chusen Li, Zhou Liu, Shuigeng Zhou +1Deep Reinforcement LearningGroup Relative Policy Optimization

  52. Soft-SVeRL: Self-Verified Reinforcement Learning with Soft Rewards

    May 27, 2026Saurabh Dash, Pierre Clavier, John Dang +4Reinforcement Learning With Verifiable RewardVerifiable Rewards

  53. Skill0.5: Joint Skill Internalization and Utilization for Out-of-Distribution Generalization in Agentic Reinforcement Learning

    May 27, 2026Jiapeng Zhu, Jianxiang Yu, Yibo Zhao +5Agentic Reinforcement-Learning FrameworkDeep Reinforcement Learning

  54. ProRL: Effective Reinforcement Learning for Proactive Recommendation via Rectified Policy Gradient Estimation

    May 27, 2026Hongru Hou, Tiehua Mei, Denghui Geng +5Policy GradientDeep Reinforcement Learning

  55. Commit to the Bit: Reactive Reinforcement Learning Done Right

    May 27, 2026Onno Eberhard, Claire Vernade, Michael MuehlebachQ-LearningMarkov Decision Processes

  56. Visualizing Latent Phase Structures in Locomotion Policies: A Multi-Environment Study with Temporal Feature Extension

    May 27, 2026Daisuke Yasui, Toshitaka Matuki, Hiroshi SatoPerceptive Locomotion PoliciesLatent Dynamics

  57. Mags-RL: Wearing Multimodal LLMs a Magnifying Glass via Agentic Reinforcement Learning For Complex Scene Reasoning

    May 27, 2026Xuanzhao Dong, Wenhui Zhu, Peijie Qiu +11Deepmind Control SuiteScene Representation

  58. Cyclical Entropy Eruption: Entropy Dynamics in Agent Reinforcement Learning

    May 27, 2026Wendi Li, Shawn Im, Sharon LiAgentic Reinforcement-Learning FrameworkDeep Reinforcement Learning

  59. SKILLC: Learning Autonomous Skill Internalization in LLM Agents via Contrastive Credit Assignment

    May 27, 2026Hongxiang Lin, Zhirui Kuai, Erpeng Xue +1Unsupervised Skill DiscoverySkill Evolution

  60. Transferable Reinforcement Learning via Probabilistic Latent Embeddings and Dynamic Policy Adaptation for Sim-to-Real Deployment

    May 26, 2026Gengyue Han, Yiheng FengZero-Shot Sim-To-Real TransferSim-To-Real Gap