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. Addressing Market Regime Changes and Heavy-Tailed Returns in Portfolio Optimization via Bayesian VAR and Elliptical Black-Litterman

    Jun 8, 2026Daniil Mikriukov, Ruoyu Sun, Angelos Stefanidis +2Portfolio OptimizationLong-Tailed Distribution

  2. Stage-1 Controls the Entropy Regime, Not the Outcome

    Jun 8, 2026Jianxiong ShenVision-LanguageCold-Start

  3. Scaling by Diversified Experience for Vision-Language-Action Models

    Jun 8, 2026Leiyu Wang, Zhaofengnian Wang, Xueqi Li +3Vision-Language-Action ModelsDeep Reinforcement Learning

  4. Baichuan-M4: A Clinical-Grade Medical Agent System for Continuous Care

    Jun 8, 2026Aiyuan Yang, Canbin Piao, Chengfeng Dou +25CareDeep Reinforcement Learning

  5. Multilingual Sentiment Aware Text Summarization A Reinforcement Learning Approach for Consistency Maintenance

    Jun 8, 2026Mikhail Krasitskii, Alexander Gelbukh, Olga Kolesnikova +1Sentiment AnalysisLarge Language Model Alignment

  6. sGPO: Trading Inference FLOPs for Training Efficiency in RLVR

    Jun 7, 2026Shivchander Sudalairaj, Kai Xu, Akash Srivastava +1Reinforcement Learning With Verifiable RewardGroup Relative Policy Optimization

  7. HARBOR: A Harness Framework for Agentic Robot Reinforcement Learning

    Jun 7, 2026Zechu Li, Yufeng Jin, Xiaoyang Liu +4Scalable Robot LearningSimulation-Based Reinforcement Learning

  8. Platooning Connected, Autonomous, and Human-Driven Vehicles: A Deep Reinforcement Learning-based Approach

    Jun 7, 2026Zhen Qina, Dong-Fan Xie, Heng Ma +2Vehicle DynamicsAutonomous Driving

  9. GIFT: LLM-Guided State-Reward Interface for Financial Reinforcement Learning

    Jun 7, 2026Yanyan Wu, Boyi Zhang, Yanlin Liu +10Portfolio OptimizationDeep Reinforcement Learning

  10. Sparrow: Sparse Rollout for Stable and Efficient Long-context RL of Large Language Models

    Jun 7, 2026Yang Zhou, Ranajoy Sadhukhan, Zhaofeng Sun +7Autoregressive RolloutSparse Rewards

  11. LogNEO: A GPT-Neo Reinforcement Learning Framework for Accurate Real-Time Log Anomaly Detection

    Jun 6, 2026David Eje, Tanmay Sharma, Khush Patel +2OpenaiDeep Reinforcement Learning

  12. MuJoCo-Drones-Gym: A GPU-Accelerated Multi-Drone Simulator for Control and Reinforcement Learning

    Jun 6, 2026Manan TayalAerial RobotsSimulation-Based Reinforcement Learning

  13. Path Planning Using Deep Deterministic Policy Gradient: A Reinforcement Learning Approach

    Jun 5, 2026Qiang Le, Yaguang Yang, Isaac E. WeintraubCoverage Path PlanningAutonomous Driving

  14. GenPO++: Generative Policy Optimization with Jacobian-free Likelihood Ratios

    Jun 5, 2026Ke Hu, Shutong Ding, Panxin Tao +2Flow-Based PolicyGenerative Flow Networks

  15. Progress-SQL: Improving Reinforcement Learning for Text-to-SQL via Progressive Rewards

    Jun 5, 2026Shihao Zhang, Xiaoman Wang, Yuan Liu +2Text-To-SqlSql

  16. SCALE: Scalable Cross-Attention Learning with Extrapolation for Agentic Workflow Scheduling

    Jun 5, 2026Zhifei Xu, Jierui Lan, Zixuan Liang +2Agentic Reinforcement-Learning FrameworkDeep Reinforcement Learning

  17. Exploring Reinforcement Learning for Fluid Transitions Between Clinical Mental Healthcare and Everyday Wellness Support

    Jun 5, 2026Tony Wang, Qian YangDeep Reinforcement Learning

  18. Performance Variation in Deep Reinforcement Learning

    Jun 4, 2026Haruto Tanaka, A. Rupam MahmoodJoint Reinforcement LearningDeep Reinforcement Learning

  19. Uncertainty-Aware LLM-Guided Policy Shaping for Sparse-Reward Reinforcement Learning

    Jun 4, 2026Ujjwal Bhatta, Utsabi Dangol, Sumaly Bajracharya +2Sparse RewardsDeep Reinforcement Learning

  20. Improving Cross-Lingual Factual Recall via Consistency-Driven Reinforcement Learning

    Jun 4, 2026Jonathan von Rad, Louis Arts, George Burgess +6Multilingual DataCross-Lingual Consistency

  21. Maximising the Set-Piece Return: Optimising Football Corner Tactics with Graph Reinforcement Learning

    Jun 4, 2026Sean Groom, Michael Groom, Francisco Belo +4Deep Reinforcement LearningCounterfactual Reasoning

  22. Reward hacking in physical reinforcement learning revealed by turbulent drag reduction

    Jun 4, 2026Giorgio Maria Cavallazzi, Miguel Pérez-Cuadrado, Alfredo PinelliReward GradientsDeep Reinforcement Learning

  23. Learning to replenish: A hybrid deep reinforcement learning for dynamic inventory management in the pharmaceutical supply chains

    Jun 4, 2026Amandeep Kaur, Gyan PrakashMonotonic Inventory EstimationSupply Chain Optimization

  24. TARPO: Token-Wise Latent-Explicit Reasoning via Action-Routing Policy Optimization

    Jun 4, 2026Liting Zhang, Shiwan Zhao, Xuyang Zhao +3Efficient Latent ReasoningLarge Language Model Post-Training

  25. Accelerating and Scaling MPC-Guided Reinforcement Learning for Humanoid Locomotion and Manipulation

    Jun 4, 2026Junheng Li, Liang Wu, Sergio A. Esteban +3Long-Tail Humanoid Whole-Body ControlPerceptive Locomotion Policies

  26. Representation Learning Enables Scalable Multitask Deep Reinforcement Learning

    Jun 4, 2026Johan Obando-Ceron, Lu Li, Scott Fujimoto +3Multi-Task Reinforcement LearningDeep Reinforcement Learning

  27. Selective-Advantage Entropy-Adaptive Horizon GRPO: Asymmetric Token-Level Discounting for Efficient Reinforcement Learning of Language Models

    Jun 3, 2026Chirag Chawla, Rohan Charudatt Salvi, Madhav S. BaidyaGroup Relative Policy OptimizationPolicy Gradient

  28. Learning Empirically Admissible Neural Heuristics for Combinatorial Search

    Jun 3, 2026Siddharth SahayHeuristicsSearch Algorithms

  29. Learning While Acting: A Skill-Enhanced Test-Time Co-Evolution Framework for Online Lifelong Learning Agents

    Jun 3, 2026Bo Mao, Jie Zhou, Yutao Yang +5Agentic Reinforcement-Learning FrameworkLarge Language Model Agents

  30. Trace-Mediated Peak Bias: Bridging Temporal Credit Assignment and Cognitive Heuristics in Deep Reinforcement Learning

    Jun 3, 2026Viktor Veselý, Aleksandar Todorov, Erwan Escudie +1Credit AssignmentDeep Reinforcement Learning

  31. Dynamic Multi-Pair Trading Strategy in Cryptocurrency Markets with Deep Reinforcement Learning

    Jun 3, 2026Damian Lebiedź, Robert ŚlepaczukDecentralized FinanceDeep Reinforcement Learning

  32. AgentJet: A Flexible Swarm Training Framework for Agentic Reinforcement Learning

    Jun 3, 2026Qingxu Fu, Boyin Liu, Shuchang Tao +2Agentic Reinforcement-Learning FrameworkDeep Reinforcement Learning

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

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

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

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

  35. Exact Unlearning in Reinforcement Learning

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

  36. 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

  37. 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

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

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

  39. 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

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

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

  41. 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

  42. Hint-Guided Diversified Policy Optimization for LLM Reasoning

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

  43. 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

  44. Position: Deployed Reinforcement Learning should be Continual

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

  45. 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

  46. 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

  47. 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

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

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

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

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

  50. 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

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

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

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

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

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

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

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

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

  55. 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

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

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

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

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

  58. 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

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

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

  60. Robust Shielding for Safe Reinforcement Learning

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