Model-Free Reinforcement Learning

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Period ending 2026-09-21

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Period ending 2026-09-14

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Period ending 2026-09-07

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47 papers

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  1. Online Robust Reinforcement Learning Through Monte-Carlo Planning

    Sep 16, 2026Tuan Dam, Kishan Panaganti, Brahim Driss +1Monte Carlo Tree SearchModel-Free Reinforcement Learning

  2. 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

  3. Separating perception from reasoning in vision-language models: a model-free render ceiling for crystal structures

    Sep 1, 2026Can Polat, Mustafa Kurban, Erchin Serpedin +1Perceptual UnderstandingCeiling

  4. Observation-Grounded Self-Predictive Reinforcement Learning for Visual Continuous Control

    Aug 6, 2026Xinwei Liu, Junyuan Liang, Jianting Zhang +1Model-Free Reinforcement LearningRepresentation Learning

  5. Exact Model-Free Policy Iteration for Co-safe LTL Planning

    Aug 5, 2026Zetong Xuan, Yu WangModel-Free Reinforcement LearningLinear Temporal Logics

  6. ATLAS: Adaptive Topological Learning with Abstract Successors for Continual Learning

    Aug 5, 2026R. Blake Lawlor, Daniel S. BrownModel-Free Reinforcement LearningSuccessor Representations

  7. Optimal Reward Shaping: Autonomous Car Parking Case Study

    Jul 26, 2026Emre Özkaya, Nicolas R. GaugerPotential-Based Reward ShapingDeep Q-Networks

  8. Dreamer-CPC: Message Learning with World Models for Decentralized Multi-agent Reinforcement Learning

    Jul 22, 2026Taisuke Takayama, Naoto Yoshida, Tadahiro TaniguchiMulti-Agent Reinforcement LearningModel-Free Reinforcement Learning

  9. Planning as Emergent Behavior in Reinforcement Learning with Relational Hidden States

    Jul 20, 2026Armin SommerModel-Free Reinforcement LearningClassical Planning

  10. SMC-ES: Automated synthesis of formally verified control policies

    Jul 16, 2026Riccardo Curcio, Toni Mancini, Enrico TronciCyber-Physical SystemModel-Free Reinforcement Learning

  11. Actor-Critic Learning for Extended Mean Field Control with Deterministic Policies

    Jul 13, 2026Ziheng Cheng, Xin Guo, Huyên Pham +1Model-Free Reinforcement LearningStochastic Optimal Control

  12. Can Reinforcement Learning Efficiently Discover Price Manipulation?

    Jul 7, 2026Ioanna-Yvonni Tsaknaki, Andrea Macrì, Fabrizio LilloModel-Free Reinforcement LearningDeep Reinforcement Learning

  13. Energy-Optimal Spatial Iterative Learning within a Virtual Tube

    Jun 30, 2026Chen Min, Shuli Lv, Pengda Mao +3Unmanned Aerial Vehicle TrajectoriesTrajectory Optimization

  14. Mean-Field PhiBE: Continuous-Time Mean-Field Reinforcement Learning from Discrete-Time Data

    Jun 25, 2026Erhan Bayraktar, Martin Hernandez, Qinxin Yan +1Model-Free Reinforcement LearningStochastic Optimal Control

  15. Deep Reinforcement Learning-Enhanced Event-Triggered Data-Driven Predictive Control for a 3D Cable-Driven Soft Robotic Arm

    Jun 24, 2026Cheng Ouyang, Moeen Ul Islam, Kaixiang Zhang +3Soft RobotsIterative Reinforcement Learning

  16. Managing Task Execution for Unknown Workloads in Batteryless IoT: A Hardware-Agnostic Evaluation

    Jun 23, 2026Samer Nasser, Henrique Duarte Moura, Ritesh Kumar Singh +2WorkloadInternet Of Thing

  17. NASDAQ: Normalized Observation Space Dynamics-Augmented Q-Learning

    Jun 19, 2026Xinwei Liu, Junyuan Liang, Zicong Hong +2Model-Free Reinforcement LearningQ-Learning

  18. Inverting the Bellman Equation: From Q-Values to World Models

    Jun 19, 2026Alistair Letcher, Mattie Fellows, Alexander D. Goldie +3Model-Free Reinforcement LearningGoal-Conditioned Reinforcement Learning

  19. Model-Free Reinforcement Learning Control for Resilient Cyber-Physical Systems

    Jun 17, 2026Hugo O. Garcés, Alejandro J. Rojas, Bernardo A. Hernández +5Cyber-Physical SystemModel-Free Reinforcement Learning

  20. Generative-Model Predictive Planning for Navigation in Partially Observable Environments

    Jun 17, 2026Thomas Quilter, Yifan Zhu, Guorui Quan +2Diffusion PlanningModel-Free Reinforcement Learning

  21. Learning Policy from a Single Trajectory in Average-Reward Markov Decision Process

    Jun 15, 2026Jongmin Lee, Ernest K. Ryu, Vaneet AggarwalMarkov Decision ProcessesModel-Free Reinforcement Learning

  22. A Hybrid Model-Based and Model-Free Framework for Active Multi-View Viewpoint Optimization in Sonar Target Recognition

    Jun 13, 2026Yongkyoon Park, Jane ShinForward-Looking SonarMulti-View

  23. Rapid co-design of Buoyancy-assisted robots for Challenging Locomotion using Gaussian Evolutionary Specialists

    Jun 5, 2026Ankit Sinha, Nitish Sontakke, Dennis Hong +2Co-DesignRobot Systems

  24. Attack Detection using Time Series Foundation Models

    Jun 4, 2026Sribalaji C. Anand, Anh Tung Nguyen, George J. PappasAttack DetectionTime Series Foundation Models

  25. AdaPLD: Adaptive Retrieval and Reuse for Efficient Model-Free Speculative Decoding

    Jun 4, 2026Runheng Liu, Jincheng Xie, Wen Hu +2Speculative DecodingReuse

  26. Cortex and subcortex play distinct roles over learning when cortical memory is limited

    May 30, 2026Matthew Farrell, Taro ToyoizumiHuman Visual CortexCognitive Memory

  27. ReversedQ: Opportunities for Faster Q-Learning in Episodic Online Reinforcement Learning

    May 20, 2026Sofia R. Miskala-Dinc, Aviva PrinsQ-LearningModel-Free Reinforcement Learning

  28. Transfer Learning for Customized Car Racing Environments

    May 18, 2026Benedict Florance Arockiaraj, Richard Chang, Wesley YeeAutonomous RacingTransfer Learning

  29. Peng's Q(λ) for Conservative Value Estimation in Offline Reinforcement Learning

    May 14, 2026Byeongchan Kim, Min-hwan OhOffline Reinforcement LearningModel-Free Reinforcement Learning

  30. 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

  31. Central Limit Theorem for Two-Time-Scale Approximate Distributionally Robust RL

    May 8, 2026Shengbo Wang, Zexi ZhangCentral Limit TheoremModel-Free Reinforcement Learning

  32. Actor-Critic Algorithm for Dynamic Expectile and CVaR

    May 8, 2026Yudong Luo, Erick DelageConditional-Value-At-RiskSoft Actor-Critic

  33. A Measure-Theoretic Finite-Sample Theory for Adaptive-Data Fitted Q-Iteration

    May 7, 2026Manuel Haussmann, Mustafa Mert Çelikok, Melih KandemirQ-LearningModel-Free Reinforcement Learning

  34. Middle-mile logistics through the lens of goal-conditioned reinforcement learning

    May 4, 2026Onno Eberhard, Thibaut Cuvelier, Michal Valko +1Goal-Conditioned Reinforcement LearningLast Mile

  35. Model-Free Inference of Investor Preferences: A Relative Entropy IRL Approach

    Apr 27, 2026Chen XuEntropy Regularized Reinforcement LearningModel-Free Reinforcement Learning

  36. Optimal sequential decision-making for error propagation mitigation in digital twins

    Apr 24, 2026Annice Najafi, Shokoufeh MirzaeiDigital TwinsDigital Twin Framework

  37. DARLING: Detection Augmented Reinforcement Learning with Non-Stationary Guarantees

    Apr 17, 2026Argyrios Gerogiannis, Yu-Han Huang, Venugopal V. VeeravalliModel-Free Reinforcement LearningMarkov Decision Processes

  38. 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

  39. A Model-Free Universal AI

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

  40. High-Altitude Balloon Station-Keeping with First Order Model Predictive Control

    Nov 11, 2025Myles Pasetsky, Jiawei Lin, Bradley Guo +1Model Predictive ControlFlight Performance

  41. Deep Reinforcement Learning for Dynamic Origin-Destination Matrix Estimation in Microscopic Traffic Simulations Considering Credit Assignment

    Nov 9, 2025Donggyu Min, Seongjin Choi, Dong-Kyu KimMicroscopic Traffic SimulationsOrigin Destination Flows

  42. Finite-Time Convergence of Single-Trajectory Chi-Square Robust Q-Learning With Linear Function Approximation

    Oct 2, 2025Saptarshi Mandal, Yashaswini Murthy, R. SrikantQ-LearningModel-Free Reinforcement Learning

  43. Policy Gradient with Self-Attention for Model-Free Distributed Nonlinear Multi-Agent Games

    Sep 22, 2025Eduardo Sebastián, Maitrayee Keskar, Eeman Iqbal +3Multi-Agent Reinforcement LearningZero--Sum Differential Game

  44. Model-Free Robust Average-Reward Reinforcement Learning with Sample Complexity Analysis

    May 18, 2025Zachary Roch, George Atia, Yue WangModel-Free Reinforcement LearningOptimal Policies

  45. HERB: Human-augmented Efficient Reinforcement learning for Bin-packing

    Apr 23, 2025Gojko Perovic, Nuno Ferreira Duarte, Atabak Dehban +3Scalable Robot LearningWarehouse Automation

  46. ProSpec RL: Plan Ahead, then Execute

    Jul 31, 2024Liangliang Liu, Yi Guan, BoRan Wang +5Model-Free Reinforcement LearningDeep Reinforcement Learning

  47. Topology-Guided Modular Actor-Critic Learning for Continuous Systems under Temporal Objectives

    Apr 20, 2023Lening Li, Zhentian Qian, Jianan Xia +7Soft Actor-CriticModel-Free Reinforcement Learning