Bayesian RL

RL: Reinforcement Learning

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2 papers in the last four weeks, against 1 the four weeks before. 0.0% of all new papers.

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Latest papers 17

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  1. MaPP: A Unified Marginalized Posterior-Predictive Framework for Data-Efficient RLVR

    Sep 28, 2026Yangyang Ren, Haodong Zhu, Sheng Xu +4Bayesian RLRL for Language Model Reasoning

    Beihang University · Zhongguancun Academy · Communication University of China +4

  2. Efficient Bayes-Adaptive Reinforcement Learning with Temporal Logic Specifications

    Sep 17, 2026Jonathan Hau, Alessandro AbateBayesian RLSafe RL

    Department of Computer Science, University of Oxford, United Kingdom

  3. Subspace Inference Enables Efficient Active Reward Learning from Preferences

    Sep 3, 2026Yutai Zhou, Erdem BıyıkBayesian RLPreference Learning

    Thomas Lord Department of Computer Science University of Southern California, Los Angeles, USA

  4. Full Bayesian Reinforcement Learning via LF-IBIS

    Jul 2, 2026Stefano Masini, Cecilia Viscardi, Michela BacciniSimulation-Based InferenceReinforcement Learning

    Department of Computer Science, University of Pisa, Italy · Department of Economics and Statistics, University of Salerno, Italy · Department of Statistics, Computer Science, Applications ”G.Parenti”, University of Florence, Italy

  5. Agentic Monte Carlo: Simulating Reinforcement Learning for Black-Box Agents

    Jun 3, 2026Dae Yon Hwang, Raunaq Suri, Valentin Villecroze +4Reinforcement LearningBayesian RL

    Layer 6 AI, Toronto, Canada.

  6. Bayesian learning for the stochastic shortest path problem

    Jun 3, 2026Chon Wai Ho, Sumeetpal S. Singh, Jiaqi GuoMarkov Decision ProcessesReinforcement Learning

    Department of Engineering, University of Cambridge, UK · School of Mathematics and Physics, University of Wollongong, Wollongong, Australia

  7. Regularized Offline Policy Optimization with Posterior Hybrid Bayesian Belief

    May 30, 2026Hongqiang Lin, Pengfei Wang, Nenggan ZhengReinforcement LearningBayesian RL

    Zhejiang University, Hangzhou, China.

  8. Information-Directed Offline-to-Online Reinforcement Learning

    May 28, 2026Keru ChenRegret Minimization in RLBayesian RL

    School of Electrical, Computer and Energy Engineering, Arizona State University

  9. Evolving Robustness--Exploration Trade-off in Online Reinforcement Learning via Quantile Bayesian Risk MDPs

    May 23, 2026Meichen Song, Yuhao Wang, Enlu ZhouReinforcement LearningBayesian RL

    School of Industrial and Systems Engineering Georgia Institute of Technology Atlanta, GA 30332, USA

  10. BAPR: Bayesian amnesic piecewise-robust reinforcement learning for non-stationary continuous control

    May 15, 2026Yifan Zhang, Liang ZhengRL ControlNon-Stationary RL

    Central South University

  11. Bayesian policy gradient and actor-critic algorithms

    Apr 30, 2026Mohammad Ghavamzadeh, Yaakov Engel, Michal ValkoBayesian RLTemporal-Difference Learning

    Adobe Research & Inria · Rafael Advanced Defence System, Israel · Inria Lille — SequeL team, France

  12. Posterior Sampling Reinforcement Learning with Gaussian Processes for Continuous Control: Sublinear Regret Bounds for Unbounded State Spaces

    Mar 9, 2026Hamish Flynn, Joe Watson, Ingmar Posner +1RL ControlRegret Minimization in RL

    Carnegie Mellon University · University of Oxford · Technical University of Darmstadt +2

  13. A Model-Free Universal AI

    Feb 26, 2026Yegon Kim, Juho LeeReinforcement LearningBayesian RL

    Graduate School of AI, KAIST, Seoul, South Korea

  14. Meta-RL with Bayesian Linear Task Models

    Dec 24, 2025Jingyang You, Hanna KurniawatiRepresentation LearningReinforcement Learning

    School of Computing Australian National University

  15. Quantum Bayesian Networks Can Speed up Reinforcement Learning in Partially Observable Environments

    Jul 24, 2025Gilberto Cunha, Alexandra Ramôa, André Sequeira +2Partially Observable RLBayesian RL

    High-Assurance Software Laboratory (HASLab), INESC TEC, Portugal · Department of Computer Science, University of Minho, Portugal · International Iberian Nanotechnology Laboratory (INL), Portugal

  16. Fully Offline Reinforcement Learning

    May 28, 2025Mattie Fellows, Clarisse Wibault, Uljad Berdica +3Bayesian RLOffline RL

    Foerster Lab for AI Research (FLAIR), Department of Engineering Science, University of Oxford · Machine Learning Research Group, Department of Engineering Science, University of Oxford

  17. Thompson Sampling for Infinite-Horizon Discounted Decision Processes

    May 14, 2024Daniel Adelman, Cagla Keceli, Alba V. Olivares-NadalThompson SamplingRegret Minimization in RL

    Booth School of Business, The University of Chicago, Chicago, IL 60637, USA · United Airlines, Chicago, IL 60605, USA · UNSW Business School, UNSW, Kensington NSW 2033, Australia