Deep Reinforcement Learning

Ask about this topic

Recent momentum

-15%

51 papers in the last 28 days · 0.8% of indexed attention

Twelve weeks of publication activity for this topic as it is defined today.

Also in Deep Reinforcement Learning

Neighbouring directions

Deepmind Control SuiteJoint Reinforcement Learning

Weekly history

Recent digests

What was published in this topic, kept on the site without email delivery.

Period ending 2026-09-21

27 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

Period ending 2026-09-14

11 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

Period ending 2026-09-07

17 new papers

A weekly snapshot of new work published in Deep Reinforcement Learning.

655 papers

Latest in Deep Reinforcement Learning

Browse all topics →
CardsList

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

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

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

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

  3. 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

  4. 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

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

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

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

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

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

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

  8. Universal Decision Learners

    May 29, 2026Sridhar MahadevanDecisionsCounterfactual Rollouts

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

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

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

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

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

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

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

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

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

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

  14. 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

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

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

  16. 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

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

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

  18. 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

  19. Guidance Contrastive Token Credit Assignment for Discrete Policy Optimization

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

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

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

  21. 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

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

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

  23. 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

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

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

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

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

  26. 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

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

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

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

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

  29. 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

  30. Accelerating Reinforcement Learning Training Using Simulation Surrogate Models

    May 26, 2026Mohammadmahdi Ghasemloo, David J. Eckman, Yaxian LiSimulation-Based Reinforcement LearningDeep Reinforcement Learning

  31. SIA: Self Improving AI with Harness & Weight Updates

    May 26, 2026Prannay Hebbar, Yogendra Manawat, Samuel Verboomen +4Recursive Self-ImprovementPrior Prompt Optimization Techniques

  32. Towards Generalization-Oriented Models for Vehicle Routing Problems with Mixture-of-Experts

    May 26, 2026Changhao Miao, Yuntian Zhang, Tongyu Wu +2Vehicle Routing ProblemMixture-of-Experts Models

  33. UnityMAS-O: A General RL Optimization Framework for LLM-Based Multi-Agent Systems

    May 26, 2026Yiqun Chen, Wei Yang, Erhan Zhang +14Multi-Agent SystemsMulti-Agent Reinforcement Learning

  34. Focal Reward: Balanced Reinforcement Learning under Rubric-Based Rewards

    May 26, 2026Yu Huang, Zihua Zhao, Zhaoxin Huan +9Rubric-Based Reinforcement LearningRubrics

  35. Robust Koopman Control Barrier Filters for Safe Actor-Critic Reinforcement Learning

    May 26, 2026Dhruv S. Kushwaha, Zoleikha A. BironControl Barrier FunctionsSoft Actor-Critic

  36. When Does Deep RL Beat Calibrated Baselines? A Benchmark Study on Adaptive Resource Control

    May 26, 2026Guilin Zhang, Chuanyi Sun, Kai Zhao +3Joint Reinforcement LearningRate Scaling

  37. From Static Context to Calibrated Interactive RL: Mitigating Distribution Shift in Multi-turn Dialogue with Aligned Simulator

    May 26, 2026Xiaohua Wang, Jiakang Yuan, Zisu Huang +5DialogueSimulation-Based Reinforcement Learning

  38. Balancing Plasticity and Stability with Fast and Slow Successor Features

    May 25, 2026Raymond Chua, Doina Precup, Blake RichardsPlasticityDeep Reinforcement Learning

  39. MechRL: Reinforcement Learning Agents Perform Circuit Discovery for Mechanistic Interpretability

    May 25, 2026Barsat KhadkaMechanistic InterpretabilityCircuits

  40. AdvantageFlow: Advantage-Weighted Least Squares for RL in Flow Models

    May 25, 2026Branislav Kveton, Anup Rao, Subhojyoti Mukherjee +2Generative Flow NetworksRectified Flow

  41. Can LLMs Time Travel? Enhancing Temporal Consistency in Legal Agentic Search through Reinforcement Learning

    May 25, 2026Wei Fan, Yining Zhou, Mufan Zhang +8Legal DomainAgentic Search

  42. Learning to Search and Searching to Learn for Generalization in Planning

    May 25, 2026Michael Aichmüller, Yannik Hesse, Hector GeffnerClassical PlanningDeep Reinforcement Learning

  43. A perspective on fluid mechanical environments for challenges in reinforcement learning

    May 24, 2026Shruti Mishra, Michael Chang, Vamsi Spandan +1Fluid DynamicsDeep Reinforcement Learning

  44. Test-Time Deep Thinking to Explore Implicit Rules

    May 24, 2026Wentong Chen, Xin Cong, Zhong Zhang +8Agentic ReasoningReasoning Trajectory

  45. Streaming Reinforcement Learning under Partial Observability with Real-Time Recurrent Learning

    May 23, 2026Noah Farr, Aryaman Reddi, Carlo D'Eramo +1Deep Reinforcement LearningLearning-Augmented Algorithms

  46. A Unified Python Framework for Direct PPO-based Control of AHUs with Economizer Logic and CO2-Constrained Ventilation

    May 23, 2026Erfan Haghighat Damavandi, Davide Papurello, Mahdi Alibeigi +3Hvac ControlSmart Homes

  47. Robotic Strawberry Harvesting with Robust Vision and Deep Reinforcement Learning based Sim-to-Real Control

    May 22, 2026Al Bashir, Shao-Yang Chang, Partho Ghose +3Agricultural RobotsExecutable Robot Behavior

  48. Metacognition as Reward: Reinforcing LLM Reasoning via Knowledge and Regulation Signals

    May 22, 2026Sirui Chen, Lei Xu, Yuying Zhao +6Large Language Model ReasoningMetacognition

  49. Infra-Bayesian Reinforcement Learning Agents Outperform Classical RL For Worst-Case Robustness

    May 22, 2026Manish Aryal, Faiyaz Azam, Agnivo Banerjee +11Entropy Regularized Reinforcement LearningDeep Reinforcement Learning

  50. What Training Data Teaches RL Memory Agents: An Empirical Study of Curriculum Effects in Memory-Augmented QA

    May 21, 2026Xinjie He, Zhiyuan Lin, Su Liu +4Deep Reinforcement LearningCurriculum

  51. Self-Play Reinforcement Learning under Imperfect Information in Big 2

    May 21, 2026Aalok PatwaSelf-PlayImperfect-Information Games

  52. Deep Reinforcement Learning for Flexible Job Shop Scheduling with Random Job Arrivals

    May 21, 2026Yu Tang, Muhammad Zakwan, Efe Balta +2Stochastic DelaysMixed-Integer Programming

  53. Kernel-Based Safe Exploration in Deep Reinforcement Learning

    May 21, 2026Rupak Majumdar, Nikhil Singh, Sadegh SoudjaniControl Barrier FunctionsDeep Reinforcement Learning

  54. Learning Spatiotemporal Sensitivity in Video LLMs via Counterfactual Reinforcement Learning

    May 21, 2026Dazhao Du, Jian Liu, Jialong Qin +7Video-Language ModelsCounterfactual Rollouts

  55. Reinforcement Learning for Risk Adaptation via Differentiable CVaR Barrier Functions

    May 20, 2026Xinyi Wang, Taekyung Kim, Bardh Hoxha +2Obstacle AvoidanceConstrained Reinforcement Learning

  56. Enhanced Reinforcement Learning-based Process Synthesis via Quantum Computing

    May 20, 2026Austin Braniff, Fengqi You, Yuhe TianQuantum ComputingJoint Reinforcement Learning

  57. Learning First Integrals via Backward-Generated Data and Guided Reinforcement Learning

    May 20, 2026Jingfeng Zhong, Zhengxiang Liu, Zhijie Wang +1IntegralFuture Llm-Assisted Solver Development

  58. Distill to Think, Foresee to Act: Cognitive-Physical Reinforcement Learning for Autonomous Driving

    May 20, 2026Yang Wu, Qiang Meng, Zhaojiang Liu +3Autonomous DrivingEfficient Vision-Language-Action Models

  59. Design for Manufacturing: A Manufacturability Knowledge-Integrated Reinforcement Learning Framework for Free-Form Pipe Routing in Aeroengines

    May 20, 2026Caicheng Wang, Zili Wang, Shuyou Zhang +4Industrial AutomationDeep Reinforcement Learning

  60. ConceptSeg-R1: Segment Any Concept via Meta-Reinforcement Learning

    May 19, 2026Yuan Zhao, Youwei Pang, Jiaming Zuo +10Fine-Grained PerceptionVisual Perception