Deep Reinforcement Learning

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Period ending 2026-09-21

29 new papers

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Period ending 2026-09-14

14 new papers

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Period ending 2026-09-07

29 new papers

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

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  1. Accelerating Reinforcement Learning Training Using Simulation Surrogate Models

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

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

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

  3. Reasoning Depth and Environment Complexity: A Controlled Study of RLVR Data Allocation across Logical Reasoning Tasks

    May 26, 2026Yihua Zhu, Qianying Liu, Fei Cheng +4Reinforcement Learning With Verifiable RewardDeepmind Control Suite

  4. 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

  5. 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

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

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

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

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

  8. 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

  9. 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

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

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

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

    May 25, 2026Barsat KhadkaMechanistic InterpretabilityCircuits

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

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

  13. 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

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

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

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

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

  16. Test-Time Deep Thinking to Explore Implicit Rules

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

  17. 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

  18. 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

  19. 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

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

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

  21. WMAttack: Automated Attack Search for Adversarial Evaluation of World-Model Agents

    May 22, 2026Zhixiang Guo, Siyuan Liang, Shi Fu +4Adversarial EvaluationWorld Models

  22. 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

  23. 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

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

    May 21, 2026Aalok PatwaSelf-PlayImperfect-Information Games

  25. MadEvolve: Evolutionary Optimization of Trading Systems with Large Language Models

    May 21, 2026Yurii Kvasiuk, Tianyi Li, Owen Colegrove +1Evolutionary SearchAlphaevolve

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

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

  27. Kernel-Based Safe Exploration in Deep Reinforcement Learning

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

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

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

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

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

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

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

  31. Scalable Reinforcement Learning via Adaptive Batch Scaling

    May 20, 2026Jongchan ParkBatch SizeJoint Reinforcement Learning

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

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

  33. 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

  34. 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

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

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

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

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

  37. 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

  38. JAXenstein: Accelerated Benchmarking for First-Person Environments

    May 19, 2026Ruo Yu Tao, George KonidarisJoint Reinforcement LearningReal-World Environments

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

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

  40. Offline Reinforcement Learning for Plasma Control in Nuclear Fusion: Codebase and Benchmark

    May 19, 2026Yang Fu, Haomin Bao, Rohit Sonker +4Plasma Shape ControlJoint Reinforcement Learning

  41. Implicit Action Chunking for Smooth Continuous Control

    May 19, 2026Bosun Liang, Shuo Pei, Zirui Chen +5Iterative Reinforcement LearningAction Chunks

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

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

  43. 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

  44. Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving

    May 19, 2026Zhengqi Sun, Yiwen Sun, Boxuan Liu +3Autonomous DrivingLarge Language Model Decision-Making

  45. 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

  46. General Preference Reinforcement Learning

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

  47. 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

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

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

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

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

  50. 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

  51. 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

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

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

  53. 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

  54. 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

  55. 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

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

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

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

    May 16, 2026Ján Klačan, Sizhong ZhangDeep Reinforcement LearningImitation

  58. NeuroMAS: Multi-Agent Systems as Neural Networks with Joint Reinforcement Learning

    May 16, 2026Haoran Lu, Luyang Fang, Wenxuan Zhong +1Multi-Agent SystemsMulti-Agent Large Language Model

  59. Mind Dreamer: Untethering Imagination via Active Causal Intervention on Latent Manifolds

    May 15, 2026Shaojun Xu, Xiaoling Zhou, Yihan Lin +4Deepmind Control SuiteImagination

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

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