Deep Reinforcement Learning

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

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Deepmind Control SuiteJoint Reinforcement Learning

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Period ending 2026-09-21

27 new papers

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Period ending 2026-09-14

11 new papers

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Period ending 2026-09-07

17 new papers

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655 papers

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  1. RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards

    May 11, 2026Gaotang Li, Bhavana Dalvi Mishra, Zifeng Wang +9Rubric-Based Reinforcement LearningRubrics

  2. Higher Resolution, Better Generalization: Unlocking Visual Scaling in Deep Reinforcement Learning

    May 11, 2026Raphael Trumpp, Ömer Veysel Çağatan, Barış Akgün +1Deep Reinforcement LearningHigh-Resolution

  3. Priority-Driven Control and Communication in Decentralized Multi-Agent Systems via Reinforcement Learning

    May 11, 2026Qingyun Guo, Junyi Shi, Tomasz Piotr Kucner +1Multi-Agent Reinforcement LearningDeep Reinforcement Learning

  4. Uni-Synergy: Bridging Understanding and Generation for Personalized Reasoning via Co-operative Reinforcement Learning

    May 11, 2026Zijun Shen, Sihan Yang, Ruichuan An +5Unified Multimodal ModelsSynergy

  5. Causal Explanations from the Geometric Properties of ReLU Neural Networks

    May 11, 2026Hector Woods, Philippa Ryan, Rob AlexanderRectified Linear Unit NetworksCausal Reasoning

  6. Robust Probabilistic Shielding for Safe Offline Reinforcement Learning

    May 11, 2026Maris F. L. Galesloot, Thomas Rhemrev, Nils JansenOffline Reinforcement LearningShielding

  7. Towards Autonomous Railway Operations: A Semi-Hierarchical Deep Reinforcement Learning Approach to the Vehicle Rescheduling Problem

    May 11, 2026Alberto Castagna, Stefan Zahlner, Adrian Egli +4Railway EnvironmentsHierarchical Reinforcement Learning

  8. Towards Model-Free Learning in Dynamic Population Games: An Application to Karma Economies

    May 11, 2026Matteo Cederle, Saverio Bolognani, Gian Antonio SustoDeep Q-NetworksModel-Free Reinforcement Learning

  9. Balancing Efficiency and Fairness in Traffic Light Control through Deep Reinforcement Learning

    May 11, 2026Matteo Cederle, Giacomo Scatto, Gian Antonio SustoAdaptive Traffic Signal ControlFairness Interventions

  10. FormalRewardBench: A Benchmark for Formal Theorem Proving Reward Models

    May 11, 2026Zeynel A. Uluşan, Burak S. Akbudak, Can S. Erer +1TheoremReasoning Benchmark

  11. Learning to Compress Time-to-Control: A Reinforcement Learning Framework for Chronic Disease Management

    May 10, 2026Prabhjot Singh, Abhishek Gupta, Chris Betz +4Deep Reinforcement LearningOff-Policy Evaluation

  12. One for All: A Non-Linear Transformer can Enable Cross-Domain Generalization for In-Context Reinforcement Learning

    May 10, 2026Bowen He, Juncheng Dong, Lin Lin +1Deep Reinforcement LearningIn-Context Learning

  13. Plan2Cleanse: Test-Time Backdoor Defense via Monte-Carlo Planning in Deep Reinforcement Learning

    May 10, 2026Sze-Ann Chen, Zhi-Yi Chin, Kui-Yuan Chen +2Backdoor AttacksDeep Reinforcement Learning

  14. AlphaExploitem: Going Beyond the Nash Equilibrium in Poker by Learning to Exploit Suboptimal Play

    May 9, 2026Vlad Murgoci, Matthijs Spaan, Yaniv OrenImperfect-Information GamesNash Equilibrium

  15. BoostAPR: Boosting Automated Program Repair via Execution-Grounded Reinforcement Learning with Dual Reward Models

    May 9, 2026Yuanhao Li, Hongbo Wang, Xiaotang Shang +3BugMock-Interface Synthesis

  16. Forge: Quality-Aware Reinforcement Learning for NP-Hard Optimization in LLMs

    May 9, 2026Xiaozhe Li, Xinyu Fang, Shengyuan Ding +5Reasoning BenchmarkReinforcement Learning With Verifiable Reward

  17. Value-Decomposed Reinforcement Learning Framework for Taxiway Routing with Hierarchical Conflict-Aware Observations

    May 9, 2026Shizhong Zhou, Haifeng Liu, Zheng Zhang +3TrafficDeep Reinforcement Learning

  18. AgentForesight: Online Auditing for Early Failure Prediction in Multi-Agent Systems

    May 9, 2026Boxuan Zhang, Jianing Zhu, Zeru Shi +2Early Failure PredictionMulti-Agent Systems

  19. Reinforcement Learning for Scalable and Trustworthy Intelligent Systems

    May 8, 2026Guangchen LanFederated Reinforcement LearningDeep Reinforcement Learning

  20. Interactive Critique-Revision Training for Reliable Structured LLM Generation

    May 8, 2026Fei Xu Yu, Zuyuan Zhang, Mahdi Imani +2VerifierGroup Relative Policy Optimization

  21. Interpreting Reinforcement Learning Agents with Susceptibilities

    May 8, 2026Chris Elliott, Einar Urdshals, David Quarel +1Deep Reinforcement LearningPosterior

  22. HTPO: Towards Exploration-Exploitation Balanced Policy Optimization via Hierarchical Token-level Objective Control

    May 8, 2026Xincheng Yao, Ruoqi Li, Cheng Chen +4Reinforcement Learning With Verifiable RewardLarge Language Model Reasoning

  23. HyperEyes: Dual-Grained Efficiency-Aware Reinforcement Learning for Parallel Multimodal Search Agents

    May 8, 2026Guankai Li, Jiabin Chen, Yi Xu +2Multimodal Search AgentsMulti-Turn Tool-Use Agent

  24. Anatomical Landmark-Guided Deep Reinforcement Learning for Autonomous Gastric Navigation

    May 8, 2026Haoxuan Wu, Sishen Yuan, Haitao Gao +3Video Capsule EndoscopyIterative Reinforcement Learning

  25. A Production-Ready RL Framework for Personalized Utility Tuning with Pareto Sweeping in Pinterest Recommender Systems

    May 8, 2026Yichu Zhou, Mehdi Ben Ayed, Lin Yang +9Recommender SystemsPareto Frontier

  26. Integrating Causal DAGs in Deep RL: Activating Minimal Markovian States with Multi-Order Exposure

    May 8, 2026Jiamin Xu, Jacqueline Maasch, Kyra GanCausal Representation LearningDeep Reinforcement Learning

  27. Rollback-Free Stable Brick Structures Generation

    May 7, 2026Chenhui Xu, Ziyue Bai, Fuxun Yu +2Building Blocks3D Generation

  28. Temporal Attention for Adaptive Control of Euler-Lagrange Systems with Unobservable Memory

    May 7, 2026Giansalvo Cirrincione, Adriano FagioliniAdaptive ControllerActuator

  29. Revisiting Adam for Streaming Reinforcement Learning

    May 7, 2026Florin Gogianu, Adrian Catalin Lutu, Razvan PascanuDeep Q-NetworksDeep Reinforcement Learning

  30. Can RL Teach Long-Horizon Reasoning to LLMs? Expressiveness Is Key

    May 7, 2026Tianle Wang, Zhaoyang Wang, Guangchen Lan +4Large Language Model ReasoningDeepmind Control Suite

  31. SkillOS: Learning Skill Curation for Self-Evolving Agents

    May 7, 2026Siru Ouyang, Jun Yan, Yanfei Chen +13Skill EvolutionSelf-Evolving Agents

  32. Weblica: Scalable and Reproducible Training Environments for Visual Web Agents

    May 7, 2026Oğuzhan Fatih Kar, Roman Bachmann, Yuanzheng Gong +2Web AgentsWeb

  33. SNAPO: Smooth Neural Adjoint Policy Optimization for Optimal Control via Differentiable Simulation

    May 7, 2026Dmitri Goloubentsev, Natalija KarpichinaMulti-Objective Policy OptimizationAdjoint Matching

  34. On the Implicit Reward Overfitting and the Low-rank Dynamics in RLVR

    May 7, 2026Hao Ye, Jisheng Dang, Junfeng Fang +7Reinforcement Learning With Verifiable RewardReinforcement Learning Post-Training

  35. Asymmetric On-Policy Distillation: Bridging Exploitation and Imitation at the Token Level

    May 7, 2026Nan Jia, Haojin Yang, Xing Ma +6On-Policy DistillationPolicy Gradient

  36. A Unified Pair-GRPO Family: From Implicit to Explicit Preference Constraints for Stable and General RL Alignment

    May 7, 2026Hao YuTraining-Free Reward AlignmentGroup Relative Policy Optimization

  37. Pest-Thinker: Learning to Think and Reason like Entomologists via Reinforcement Learning

    May 7, 2026Xueheng Li, Yu Wang, Tao Hu +6Agricultural LandscapesBees

  38. Semantic State Abstraction Interfaces for LLM-Augmented Portfolio Decisions: Multi-Axis News Decomposition and RL Diagnostics

    May 7, 2026Likhita Yerra, Remi Uttejitha AllamPortfolio OptimizationLarge Language Model Decision-Making

  39. BehaviorGuard: Online Backdoor Defense for Deep Reinforcement Learning

    May 7, 2026Yinbo Yu, Xueyu Yin, Jiadai Wang +4Backdoor AttacksDeep Reinforcement Learning

  40. Approximate Next Policy Sampling: Replacing Conservative Target Policy Updates in Deep RL

    May 6, 2026Dillon Sandhu, Ronald ParrMulti-Objective Policy OptimizationDeep Reinforcement Learning

  41. LANTERN: LLM-Augmented Neurosymbolic Transfer with Experience-Gated Reasoning Networks

    May 6, 2026Mahyar Alinejad, Yue Wang, Amrit Singh Bedi +1Deep Reinforcement LearningNeuro-Symbolic Framework

  42. Modular Reinforcement Learning For Cooperative Swarms

    May 6, 2026Erel Shtossel, Gal A. KaminkaSwarmsMulti-Agent Reinforcement Learning

  43. Reinforcement Learning for Compositional Generalization with Outcome-Level Optimization

    May 6, 2026Xiyan Fu, Wei LiuDeep Reinforcement LearningFeedback Learning

  44. Strat-Reasoner: Reinforcing Strategic Reasoning of LLMs in Multi-Agent Games

    May 6, 2026Yidong He, Yutao Lai, Pengxu Yang +4Multi-Agent SystemsDeep Reinforcement Learning

  45. Reward-Decomposed Reinforcement Learning for Immersive Video Role-Playing

    May 6, 2026Miao Wang, Yuling Shi, Yijiang Li +8Role-Playing AgentsVirtual Reality

  46. Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL

    May 6, 2026Yaxun Dai, Baolin Sun, Junying Wang +6Text-To-SqlFew-Step

  47. SPHERE: Mitigating the Loss of Spectral Plasticity in Mixture-of-Experts for Deep Reinforcement Learning

    May 6, 2026Lirui Luo, Guoxi Zhang, Hongming Xu +2Deep Reinforcement LearningMixture-of-Experts Models

  48. Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV

    May 6, 2026Maoxin Ji, Qiong Wu, Pingyi Fan +4Multi-Uav SystemsUncrewed Aerial Vehicles

  49. Extending Differential Temporal Difference Methods for Episodic Problems

    May 6, 2026Kris De Asis, Mohamed Elsayed, Jiamin HeTemporal DifferenceDeep Reinforcement Learning

  50. MHPR: Multidimensional Human Perception and Reasoning Benchmark for Large Vision-Languate Models

    May 5, 2026Kangkang Wang, Qinting Jiang, Wanping Zhang +2Multimodal Reasoning BenchmarksLarge Vision Language Models

  51. Discovering Reinforcement Learning Interfaces with Large Language Models

    May 5, 2026Akshat Singh Jaswal, Ashish Baghel, Paras ChopraDeep Reinforcement LearningTrajectory-Level Credit

  52. Investigating Action Encodings in Recurrent Neural Networks in Reinforcement Learning

    May 4, 2026Matthew Schlegel, Volodymyr Tkachuk, Adam White +1Recurrent Neural NetworksDeep Reinforcement Learning

  53. Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters

    May 4, 2026Lingxiao Kong, Cong Yang, Oya Deniz Beyan +1Deep Reinforcement LearningShapley Value

  54. Reinforcement Learning for LLM-based Multi-Agent Systems through Orchestration Traces

    May 4, 2026Chenchen ZhangDeep Reinforcement LearningOrchestration

  55. Decoupled Guidance Diffusion for Adaptive Offline Safe Reinforcement Learning

    May 4, 2026Rufeng Chen, Zhaofan Zhang, Zhejiang Yang +2Reward GradientsOffline Reinforcement Learning

  56. Recurrent Deep Reinforcement Learning for Chemotherapy Control under Partial Observability

    May 4, 2026Firas Mohamed Elamine Kiram, Imane Youkana, Rachida Saouli +2Deep Reinforcement LearningSoft Actor-Critic

  57. Beyond Specialization: Robust Reinforcement Learning Navigation via Procedural Map Generators

    May 4, 2026Christian Jestel, Nicolas Bach, Marvin Wiedemann +2Deep Reinforcement LearningNavigation

  58. A Meta Reinforcement Learning Approach to Goals-Based Wealth Management

    May 4, 2026Sanjiv R. Das, Harshad Khadilkar, Sukrit Mittal +3Portfolio OptimizationDeep Reinforcement Learning

  59. Do We Really Need Immediate Resets? Rethinking Collision Handling for Efficient Robot Navigation

    May 4, 2026Shanze Wang, Xinming Zhang, Siwei Cheng +4Social Robot NavigationCollision Prediction

  60. Combining Trained Models in Reinforcement Learning

    May 4, 2026Ujjwal Patil, Javad GhofraniDeep Reinforcement LearningCross-Task Knowledge Transfer