Deep Reinforcement Learning

Ask about this field

Recent momentum

emerging

0 papers in the last 28 days · 0.0% of indexed attention

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

Weekly history

Recent digests

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

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.

Inside this field

Focused directions

712 papers

Latest in Deep Reinforcement Learning

Browse all topics →
CardsList

  1. BitRL: Reinforcement Learning with 1-bit Quantized Language Models for Resource-Constrained Edge Deployment

    Apr 27, 2026Md. Ashiq Ul Islam Sajid, Mohammad Sakib Mahmood, Md. Tareq Hasan +3Resource-Constrained Edge DevicesLarge Language Model Quantization

  2. Grounding Before Generalizing: How AI Differs from Humans in Causal Transfer

    Apr 27, 2026Liangru Xiang, Yuxi Ma, Zhihao Cao +2Causal ReasoningAnalogy

  3. EPM-RL: Reinforcement Learning for On-Premise Product Mapping in E-Commerce

    Apr 27, 2026Minhyeong Yu, Wonduk SeoProductsE-Commerce

  4. JigsawRL: Assembling RL Pipelines for Efficient LLM Post-Training

    Apr 26, 2026Zhengding Hu, Hehua Ouyang, Chang Chen +6Deepmind Control SuiteDeep Reinforcement Learning

  5. CAPSULE: Control-Theoretic Action Perturbations for Safe Uncertainty-Aware Reinforcement Learning

    Apr 26, 2026Rahul Narava, Siddharth Verma, Ojas Jain +2Safety ConstraintsDeep Reinforcement Learning

  6. Thinking Without Words: Efficient Latent Reasoning with Abstract Chain-of-Thought

    Apr 24, 2026Keshav Ramji, Tahira Naseem, Ramón Fernandez AstudilloEfficient Latent ReasoningEfficient Chain-Of-Thought Reasoning

  7. StackFeat RL: Reinforcement Learning over Iterative Dual Criterion Feature Selection for Stable Biomarker Discovery

    Apr 24, 2026A. Yermekov, D. A. Herrera-MartíFeature SelectionFeature Learning

  8. Learning Control Policies to Provably Satisfy Hard Affine Constraints for Black-Box Hybrid Dynamical Systems

    Apr 24, 2026Aayushi Shrivastava, Kartik Nagpal, Sairam Jinkala +2Control Barrier FunctionsControl System Operator Learning

  9. Replay-buffer engineering for noise-robust quantum circuit optimization

    Apr 23, 2026Akash Kundu, Sebastian FeldQuantum Circuit SimulationHybrid Quantum Neural Networks

  10. Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning

    Apr 23, 2026Yongcan Yu, Lingxiao He, Jian Liang +5Reinforcement Learning With Verifiable RewardMathematical Reasoning

  11. V-tableR1: Process-Supervised Multimodal Table Reasoning with Critic-Guided Policy Optimization

    Apr 22, 2026Yubo Jiang, Yitong An, Xin Yang +7Multimodal ReasoningVisual Reasoning

  12. Where Reasoning Breaks: Logic-Aware Path Selection by Controlling Logical Connectives in LLMs Reasoning Chains

    Apr 22, 2026Seunghyun Park, Yuanyuan LeiLarge Language Model ReasoningReasoning Chain

  13. Scaling Self-Play with Self-Guidance

    Apr 22, 2026Luke Bailey, Kaiyue Wen, Kefan Dong +2Self-PlayDeep Reinforcement Learning

  14. Efficient Reinforcement Learning using Linear Koopman Dynamics for Nonlinear Robotic Systems

    Apr 21, 2026Wenjian Hao, Yuxuan Fang, Zehui Lu +1Koopman OperatorDeep Reinforcement Learning

  15. Visual Reasoning through Tool-supervised Reinforcement Learning

    Apr 21, 2026Qihua Dong, Gozde Sahin, Pei Wang +4Visual ReasoningCurriculum Reinforcement Learning

  16. Safe Continual Reinforcement Learning in Non-stationary Environments

    Apr 21, 2026Austin Coursey, Abel Diaz-Gonzalez, Marcos Quinones-Grueiro +1Iterative Reinforcement LearningSafety Constraints

  17. FASTER: Value-Guided Sampling for Fast RL

    Apr 21, 2026Perry Dong, Alexander Swerdlow, Dorsa Sadigh +1Diffusion PoliciesDeep Reinforcement Learning

  18. Reinforcement Learning Enabled Adaptive Multi-Task Control for Bipedal Soccer Robots

    Apr 21, 2026Yulai Zhang, Yinrong Zhang, Ting Wu +1Legged RobotsScalable Robot Learning

  19. Intentional Updates for Streaming Reinforcement Learning

    Apr 21, 2026Arsalan Sharifnassab, Mohamed Elsayed, Kris De Asis +2Policy GradientDeep Reinforcement Learning

  20. Policy Gradient Primal-Dual Method for Safe Reinforcement Learning from Human Feedback

    Apr 21, 2026Qiang Liu, Adrienne Kline, Ermin WeiReinforcement Learning From Human FeedbackDeep Reinforcement Learning

  21. CXRMate-2: Structured Multimodal Temporal Embeddings and Tractable Reinforcement Learning for Clinically Acceptable Chest X-ray Radiology Report Generation

    Apr 21, 2026Aaron Nicolson, Elizabeth J. Cooper, Hwan-Jin Yoon +7Chest RadiographyRadiology Report Generation

  22. Bounded Ratio Reinforcement Learning

    Apr 20, 2026Yunke Ao, Le Chen, Bruce D. Lee +5Proximal Policy OptimizationDeep Reinforcement Learning

  23. Train Separately, Merge Together: Modular Post-Training with Mixture-of-Experts

    Apr 20, 2026Jacob Morrison, Sanjay Adhikesaven, Akshita Bhagia +3Mixture-Of-Expert Language ModelsMixture-of-Experts Models

  24. NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR

    Apr 20, 2026Yuan Xie, Jiaqi Song, Guang Qiu +9Llm-Based Automatic Speech RecognitionModel Training

  25. LiteResearcher: A Scalable Agentic RL Training Framework for Deep Research Agent

    Apr 20, 2026Wanli Li, Bince Qu, Bo Pan +5Agentic Reinforcement-Learning FrameworkDeep Research

  26. NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem

    Apr 18, 2026Daniel Fuertes, Andrea Cavallaro, Carlos R. del-Blanco +2Trajectory PredictionDeep Reinforcement Learning

  27. EasyVideoR1: Easier RL for Video Understanding

    Apr 18, 2026Chuanyu Qin, Chenxu Yang, Qingyi Si +6Video UnderstandingDeep Reinforcement Learning

  28. AutoOR: Scalably Post-training LLMs to Autoformalize Operations Research Problems

    Apr 18, 2026Sumeet Ramesh Motwani, Chuan Du, Aleksander Petrov +4Llm-Based Optimization ModelingWorkflow Generation

  29. Debate as Reward: A Multi-Agent Reward System for Scientific Ideation via RL Post-Training

    Apr 17, 2026Moein Salimi, Babak Hosseini Mohtasham, Amin Aghakasiri +6IdeasMulti-Agent Large Language Model

  30. Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning

    Apr 17, 2026Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar +2Collision AvoidanceAutonomous Driving

  31. Flexible Empowerment at Reasoning with Extended Best-of-N Sampling

    Apr 17, 2026Taisuke KobayashiExploration-Exploitation DilemmaDeep Reinforcement Learning

  32. CSLE: A Reinforcement Learning Platform for Autonomous Security Management

    Apr 16, 2026Kim HammarSecurityDeep Reinforcement Learning

  33. RAD-2: Scaling Reinforcement Learning in a Generator-Discriminator Framework

    Apr 16, 2026Hao Gao, Shaoyu Chen, Yifan Zhu +4Diffusion PlanningAutonomous Driving

  34. RL-STPA: Adapting System-Theoretic Hazard Analysis for Safety-Critical Reinforcement Learning

    Apr 16, 2026Steven A. Senczyszyn, Timothy C. Havens, Nathaniel Rice +3Safety-Critical ScenariosHazard

  35. Switch: Learning Agile Skills Switching for Humanoid Robots

    Apr 16, 2026Yuen-Fui Lau, Qihan Zhao, Yinhuai Wang +4Human-To-Robot TransferSkill Evolution

  36. Learning Ad Hoc Network Dynamics via Graph-Structured World Models

    Apr 16, 2026Can Karacelebi, Yusuf Talha Sahin, Elif Surer +1Model-Free Reinforcement LearningDeep Reinforcement Learning

  37. NetForge RL: A Multi-Agent Simulation Environment for Cyber Defense with Durative Actions

    Apr 10, 2026Igor JankowskiDefense StrategiesCybersecurity

  38. Incremental Residual Reinforcement Learning Toward Real-World Learning for Social Navigation

    Apr 9, 2026Haruto Nagahisa, Kohei Matsumoto, Yuki Tomita +2Scalable Robot LearningSocial Robot Navigation

  39. When does learning pay off? A study on DRL-based dynamic algorithm configuration for carbon-aware scheduling

    Apr 2, 2026Andrea Mencaroni, Robbert Reijnen, Yingqian Zhang +1Optimal SchedulingControl System Operator Learning

  40. Unsupervised Behavioral Compression: Learning Low-Dimensional Policy Manifolds through State-Occupancy Matching

    Mar 27, 2026Andrea Fraschini, Davide Tenedini, Riccardo Zamboni +2Deep Reinforcement LearningContext Compression

  41. End-to-End Efficient RL for Linear Bellman Complete MDPs with Deterministic Transitions

    Mar 24, 2026Zakaria Mhammedi, Alexander Rakhlin, Nneka OkoloMarkov Decision ProcessesOptimal Policies

  42. Towards Reliable Local Security Agents: Verifiable Post-Training for Linux Privilege Escalation

    Mar 18, 2026Philipp Normann, Andreas Happe, Jürgen Cito +1SecuritySmall Language Models

  43. From Passive Observer to Active Critic: Reinforcement Learning Elicits Process Reasoning for Robotic Manipulation

    Mar 16, 2026Yibin Liu, Yaxing Lyu, Daqi Gao +5Generalizable Robotic ManipulationsVideo Multimodal Large Language Models

  44. Safe Flow Q-Learning: Offline Safe Reinforcement Learning with Reachability-Based Flow Policies

    Mar 16, 2026Mumuksh Tayal, Manan Tayal, Ravi PrakashOffline Reinforcement LearningFlow-Based Policy

  45. Safe RLHF Beyond Expectation: Stochastic Dominance for Universal Spectral Risk Control

    Mar 11, 2026Yaswanth Chittepu, Ativ Joshi, Rajarshi Bhattacharjee +1Reinforcement Learning From Human FeedbackConstrained Reinforcement Learning

  46. RL unknotter, hard unknots and unknotting number

    Mar 9, 2026Anne Dranowski, Yura Kabkov, Daniel TubbenhauerKnotsDeep Reinforcement Learning

  47. Relating Reinforcement Learning to Dynamic Programming-Based Planning

    Mar 8, 2026Filip V. Georgiev, Kalle G. Timperi, Başak Sakçak +1Deep Reinforcement LearningClassical Planning

  48. Expert Knowledge-driven Reinforcement Learning for Autonomous Racing via Trajectory Guidance and Dynamics Constraints

    Mar 6, 2026Bo Leng, Weiqi Zhang, Zhuoren Li +4Autonomous RacingAutonomous Driving

  49. MIND: Unified Inquiry and Diagnosis RL with Criteria Grounded Clinical Supports for Psychiatric Consultation

    Mar 4, 2026Guoyi Li, Shihao Xu, Jiatong Ma +4Psychiatric ReasoningKnowledge-Grounded Reasoning

  50. Temporal Consistency Improves Generalization in Contextual Offline Meta Reinforcement Learning

    Mar 3, 2026Mohammadreza Nakheai, Aidan Scannell, Kevin Luck +1Offline Reinforcement LearningDeepmind Control Suite

  51. MemSifter: Offloading LLM Memory Retrieval via Outcome-Driven Proxy Reasoning

    Mar 3, 2026Jiejun Tan, Zhicheng Dou, Liancheng Zhang +3Large Language Model MemoryDeep Reinforcement Learning

  52. EMO-R3: Reflective Reinforcement Learning for Emotional Reasoning in Multimodal Large Language Models

    Feb 27, 2026Yiyang Fang, Wenke Huang, Pei Fu +5Deep Reinforcement Learning

  53. A Model-Free Universal AI

    Feb 26, 2026Yegon Kim, Juho LeeModel-Free Reinforcement LearningDeep Reinforcement Learning

  54. Two-Bridge: Exclusive Objectives and Extended Horizon StarCraft II Benchmark

    Feb 19, 2026Sourav Panda, Tanmay Ambadkar, Shreyash Kale +2ArenaJoint Reinforcement Learning

  55. To Mix or To Merge: Toward Multi-Domain Reinforcement Learning for Large Language Models

    Feb 13, 2026Haoqing Wang, Xiang Long, Ziheng Li +3Reinforcement Learning With Verifiable RewardLarge Language Model Reasoning

  56. SoK: The Pitfalls of Deep Reinforcement Learning for Cybersecurity

    Feb 9, 2026Shae McFadden, Myles Foley, Elizabeth Bates +5CybersecurityDeep Reinforcement Learning

  57. High-Speed Vision-Based Flight in Clutter with Safety-Shielded Reinforcement Learning

    Feb 9, 2026Jiarui Zhang, Chengyong Lei, Chengjiang Dai +4Autonomous Drone NavigationObstacle Avoidance

  58. rePIRL: Learn PRM with Inverse RL for LLM Reasoning

    Feb 8, 2026Xian Wu, Kaijie Zhu, Ying Zhang +2Reliable Medical Process-Level Reward Model Evaluation FrameworkLarge Language Model Reasoning

  59. An evidence-guided reinforcement learning method to improve psychiatric reasoning in small language models

    Feb 6, 2026Xinxin Lin, Guangxin Dai, Yi Zhong +25Psychiatric ReasoningClinical Reasoning

  60. On the Role of Computation in Reinforcement Learning

    Feb 5, 2026Raj Ghugare, Michał Bortkiewicz, Alicja Ziarko +1Deep Reinforcement LearningLong-Horizon Tasks