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. EmbodiedMind: Adaptive Data Curation and Prefix-Tree Reinforcement Learning for Efficient Embodied Intelligence

    Sep 17, 2026Feifan Wang, Zongbing Zhang, Yu Zhang +8Deep Reinforcement LearningLong-Horizon Planning

  2. An Architecture for Long-Horizon Agents: Levels, Ticks and Cascaded Intelligence

    Sep 17, 2026Erik Nijkamp, Anurag Koul, Egor Pakhomov +1Long-Horizon AgentsAgent Memory

  3. Learning Safe Humanoid Navigation from Reduced Order Models

    Sep 16, 2026William D. Compton, Zachary Olkin, Ryan Bena +1Social Robot NavigationAutonomous Navigation

  4. RLLBC-Lib: An Educational Code Library for Reinforcement Learning and Learning-Based Control

    Sep 16, 2026Bernd Frauenknecht, Emma Cramer, Artur Eisele +9Deep Reinforcement Learning

  5. WeaveRL: Weaving Reconstruction into Scene-Aware Fabrics for Perceptive Reinforcement Learning

    Sep 16, 2026Remo Steiner, Vikram Ramasamy, David Tingdahl +73D PerceptionFabric

  6. Label-free steering: Compressing test-time reinforcement learning into bias-only subspaces

    Sep 16, 2026Naveen Vakada, Mingyuan Li, Shaoxiong JiContinual Test-Time AdaptationDeep Reinforcement Learning

  7. What Counts as Strategic Reasoning? A Systematic Mapping of Chess Research on Humans, Engines, and Language Models

    Sep 16, 2026Paolo Ciancarini, Remo PareschiChessHuman-Ai Collaboration

  8. Characterizing Replay Retention Under Dynamics Shift in Model-Based Reinforcement Learning

    Sep 16, 2026Everest Yang, Skye Thompson, George D. KonidarisJoint Reinforcement LearningRobot Systems

  9. The Free Inference Dimension: Complexity Measure for Zero-Collision Navigation under Hypothesis Mixtures

    Sep 15, 2026Luiz Carlos Castro Guedes, Edward Hermann HaeuslerCollision-Free TrajectoriesModel-Free Reinforcement Learning

  10. CALOS: Control-Affine Lyapunov On-manifold Safety Layer for Safe Deep Reinforcement Learning for Quadrotors

    Sep 15, 2026Fabrizio Cesareo, Sebastiano Mengozzi, Nicola Mimmo +1Quadrotor ControlSafety Constraints

  11. REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff

    Sep 15, 2026Riyaaz Shaik, Chandru VenkataramanJoint Reinforcement LearningOracles

  12. Composite-Gradient Learning for Shared Control Authority Between Deep Reinforcement Learning and Model Predictive Control

    Sep 15, 2026Giray Önür, Azita Dabiri, Bart De SchutterModel Predictive ControlDeep Reinforcement Learning

  13. Calibrate Once, Fly Any Team: Residual-Grounded Low-Fidelity Training for Cooperative Drone Swarms

    Sep 15, 2026Maxim Mednikov, Oren GalMulti-Drone CoordinationUnmanned Aerial Vehicle Swarms

  14. Easy to Catch a Liar, Hard to Clear an Honest One: Language Models Diagnosing a Corrupted Reward Channel from a Verified Record

    Sep 15, 2026Arman Nik KhahHonestyLarge Language Model Reliability

  15. Rewarding Reasoning, Not Answers: Fixing and Bounding Test-Time Reinforcement Learning on Medical QA

    Sep 15, 2026Kailong Fan, Anqi Pu, Yichen Wu +7Reliable Medical Process-Level Reward Model Evaluation FrameworkDeep Reinforcement Learning

  16. GrowMTP: Can RL Grow Its Own Draft Head?

    Sep 15, 2026Minghua He, Lingzhe Zhang, Yuan Liu +2Autoregressive RolloutDeep Reinforcement Learning

  17. Fast-Convergent Meta-RL via Gradient-Clustered BS Sampling for Edge Caching

    Sep 14, 2026Farnaz Niknia, Ping WangMeta-LearningHeterogeneous Edge Devices

  18. Safe Meta-Reinforcement Learning via Information Space Reachability

    Sep 14, 2026Zeyang Li, Sunbochen Tang, Navid AzizanSafety ConstraintsDeep Reinforcement Learning

  19. JEPLO: Joint-Embedding Predictive Learning for LiDAR-Based Legged Locomotion

    Sep 14, 2026Qihao Yuan, Yixuan Qiu, Ziyu Cao +2Robotic PerceptionLight Detection And Ranging

  20. Evaluation Metrics for Safe Reinforcement Learning

    Sep 14, 2026Lindsay Spoor, Aske Plaat, Thomas MoerlandSafety EvaluationJoint Reinforcement Learning

  21. Refinement-based Flow Policy Optimization

    Sep 14, 2026Bumgeun Park, Hyukjun Yang, Donghwan LeeFlow-Based PolicyDeep Reinforcement Learning

  22. Salesforce Koa: An Enterprise Language Model for Agentic Tool Use

    Sep 14, 2026Zixiang Chen, Sufeng Niu, Yingchi Liu +22Agent FrameworkAgentic Tool Use

  23. Groupoid-Based Internal State Representations for Reinforcement Learning with Local Symmetries

    Sep 14, 2026Ben Opperman, Eduardo Alonso, Esther MondragónSymmetryDeep Reinforcement Learning

  24. MInTRL: Off-policy Intervention can boost On-policy RL

    Sep 14, 2026Mingyu Chen, Yefan Tao, Gerald Friedland +2Off-Policy EvaluationDeep Reinforcement Learning

  25. EvoRS: On-Policy Self-Evolution of Reward Systems for Open-Ended Reinforcement Learning

    Sep 14, 2026Weiyuan Li, Aili Chen, Xintao Wang +11Rubric-Based Reinforcement LearningDeep Reinforcement Learning

  26. Size Doesn't Matter: Material-State Reinforcement Learning for Excavator Transferable Soil Manipulation

    Sep 14, 2026Lennart Werner, Pol Eyschen, Sean Costello +3Hydraulic ExcavatorsSoil

  27. VRL-Bench: Benchmarking agents on computer control tasks under finite trial budgets

    Sep 14, 2026Yu Bai, Yukai Miao, Dawei Wang +8Exploration-Exploitation DilemmaDeep Reinforcement Learning

  28. Robust Policy Optimization via Adversarial Importance Sampling

    Sep 14, 2026Amine Andam, Jamal Bentahar, Mustapha HedabouMulti-Objective Policy OptimizationDeep Reinforcement Learning

  29. HiGFRL: Hierarchical Graph Fusion-Driven Reinforcement Learning for Dependency-Aware Task Scheduling in Heterogeneous Cloud

    Sep 14, 2026Tiangang Li, Shi Ying, Xiangbo TianGraph RepresentationsDeep Reinforcement Learning

  30. Reflex-Informed Neuromuscular Reinforcement Learning for Muscle-Driven Locomotion

    Sep 11, 2026Jian Zhou, Xingyu Zhang, Rui Ma +3Musculoskeletal CareDeep Reinforcement Learning

  31. CityPlanner: A Sandbox Agent for Executable Urban Planning

    Sep 10, 2026Wentao Zhang, Jingyuan Wang, Zetong Zhou +2Classical PlanningUrban Environments

  32. Distributed Physical Layer Authentication and Collaborative RSMA in Non-Terrestrial Networks via Graph Reinforcement Learning

    Sep 10, 2026Parsa Rajabi, Mohammad Mirzaee, Mohammad Reza Abedi +2Wireless Resource AllocationMobile Networks

  33. Smart Adaptive Computing Across the Continuum: LLMs in IoT-Edge-Cloud Resource Management

    Sep 10, 2026Antonino Vaccarella, Lanpei Li, Vincenzo Lomonaco +1Edge ComputingOrchestration

  34. Multi-Agent Reinforcement Learning for Autonomous UAV Exploration in Wildfire Response

    Sep 9, 2026Caden Chandra, Jerry NgWildfire DetectionDeep Reinforcement Learning

  35. Entropy-Regularized Rank-Masked Policy Optimization for Test-Time Reinforcement Learning in Code Generation

    Sep 8, 2026Jiacheng Xu, Feng Chen, Xiuneng Xu +1Reinforcement Learning With Verifiable RewardCode Generation

  36. PlayTrain: An Efficient Reinforcement Learning Framework for LLM-Generated Adaptable JavaScript Games

    Sep 8, 2026Ryan Truong, Lance Ying, Samuel J. Gershman +1Deep Reinforcement LearningTrainability

  37. Which Forms of Caregiver Feedback Support Grammar Learning? A Reinforcement-Learning Study of Child-Like Language Models

    Sep 8, 2026Jing Liu, Marianne Schweitzer, Abdellah FourtassiGrammaticalityFeedback Learning

  38. Proactive Context-Forecasted Safety Constraints for Nonstationary Reinforcement Learning

    Sep 8, 2026Tim TomashevskiySafety ConstraintsDeep Reinforcement Learning

  39. HyCO: A Hybrid Neural Solver for Combinatorial Optimization

    Sep 7, 2026Yuheng Li, Di Yang, Haipeng Chen +1Neural SolversCombinatorial Optimization

  40. Two-Stage Reinforcement Learning for Sound and Adversarial Test Generation in Code LLMs

    Sep 3, 2026Jiacheng Xu, Wentao Zhang, Zhiyi Lyu +4Test GenerationLarge Language Model Generation

  41. Revisiting Topological Graphs for Macro Action based Closed-loop Reinforcement Learning of Vision Language Navigation in Continuous Environment

    Sep 3, 2026Shuhao Ye, Sitong Mao, Yuxiang Cui +7Vision-Language NavigationDeep Reinforcement Learning

  42. From Prior-Guided Heuristics to Deployable Agents: Accelerating Demonstration-Driven Reinforcement Learning for Deadline-Constrained Network Control

    Sep 3, 2026Vincenzo Norman Vitale, Mohammad Solki, Antonia Maria Tulino +2Adaptive Traffic Signal ControlOptical Networks

  43. Gradients Know What Outcomes Don't: Unlocking Reinforcement Learning for LLM Reasoning with Gradient-Aligned Rewards

    Sep 3, 2026Leqi Zheng, Jinbo Su, Fang Niu +8Reinforcement Learning With Verifiable RewardLarge Language Model Reasoning

  44. Tail-Likelihood Reinforcement Learning

    Sep 2, 2026Shrinivas Ramasubramanian, Daman Arora, Fahim Tajwar +11Deep Reinforcement Learning

  45. Act More, Decide Less: Skill-Guided Adaptive Action Chunking for Long-Horizon LLM Agents

    Sep 2, 2026Yanting Yang, Can Jin, Jinman Zhao +6Action ChunksAgentic Reinforcement-Learning Framework

  46. The Rise of Verbal Reinforcement Learning

    Sep 1, 2026Kshitij Tayal, Arun Sharma, Genta Indra Winata +2Reinforcement Learning With Verifiable RewardReinforcement Learning From Human Feedback

  47. StudentSim: Training LLM-based Student Simulators

    Sep 1, 2026Ke Yang, Chenglong Wang, Michel Galley +4TutorsUser Simulation

  48. From Base Rollouts to RL Reasoning: A Budgeted Search Perspective

    Sep 1, 2026Wenhe Sun, Cunxiang Wang, Zijun Yao +1Reinforcement Learning With Verifiable RewardDeep Reinforcement Learning

  49. Accelerating Reinforcement Learning via MPC Solver-Gradient Guidance for Weights-varying MPC

    Sep 1, 2026Baha Zarrouki, Arslan Thobani, Jasper Hoffmann +6Model Predictive ControlDeep Reinforcement Learning

  50. ARISE-RL: Agentic Rubric-Grounded Iterative Self-Evolution with Reinforcement Learning

    Sep 1, 2026Fanrui Zhang, Ruixue Ding, Qiang Zhang +13Rubric-Based Reinforcement LearningDeepmind Control Suite

  51. Independent Reinforcement Learning in Discounted Markov Games

    Sep 1, 2026Asrin Efe Yorulmaz, Ugur Aydin, Tamer BasarMulti-Agent Reinforcement LearningMirror Descent

  52. Reconciling Process Supervision with Outcome-Based Credit in Agentic Policy Optimization

    Aug 31, 2026Jingxiao Yang, Wangjie Gan, Yingxuan Zhuang +3Credit ScoringDeep Reinforcement Learning

  53. One Policy Is Enough: Single-Agent Reinforcement Learning Outperforms Tree Search for Chemistry Tool Learning

    Aug 31, 2026Armin Dariani, Sifan Wu, Bang Liu +1Multi-Turn Tool-Use AgentMonte Carlo Tree Search

  54. Harness-RL: Black-Box Reinforcement Learning with Action-Args Decoupling for Central-Agent Multi-Agent Harnesses

    Aug 30, 2026Xinke Jiang, Zhixin Zhang, Zhibang Yang +6Agentic Reinforcement-Learning FrameworkAgent Harness

  55. PonderPounce: A Pretrained MLLM as an Episode Context Engine for Robot Control

    Aug 25, 2026Suhwan Choi, Jaeyoon Jung, Sungkyung Kim +2Deepmind Control SuiteVision-Language-Action Models

  56. ToSCA: Leveraging Hierarchical Reinforcement Learning on Temporal and Strategic Abstractions of Conversational Agents

    Aug 22, 2026Xiaoyu Wang, Qingqing Gu, Yue Zhao +5Hierarchical Reinforcement LearningAgentic Reinforcement-Learning Framework

  57. Graph Neural Assisted Actor-Critic for Latency-Efficient Edge Vision System

    Aug 17, 2026Alam Noor, Luis Almeida, Kai Li +3Vision SensorsLow-Latency Systems

  58. A Deep RL based Framework for Targeted White Matter Tractography

    Aug 13, 2026Ankita JoshiDeep Reinforcement LearningGround Truth

  59. Towards Socially Compliant Navigation in Deep Reinforcement Learning via Proxemics-Based Reward Modeling

    Aug 13, 2026Takieddine Soualhi, Jacques Saraydaryan, Laetitia MatignonSocial Robot NavigationNavigation

  60. Revisiting Overestimation Bias Problem of Q-learning: Settling Large Discrete Action Space via Action Intersection

    Aug 13, 2026Pu Li, Tao Tan, Hong Xie +2Q-LearningAction Space