Uncertainty Estimation in RL

RL: Reinforcement Learning

Latest papers

CardsList

24 papers2 papers in the last four weeks, against 2 the four weeks before. 0.0% of all new papers.

  1. Deep Epistemic Value Functions for Optimistic Exploration

    Sep 28, 2026Leander Diaz-Bone, Marco Bagatella, Jonas Hübotter +1Value Function EstimationRL Exploration

  2. Uncertainty-Driven Replay Memory for Reinforcement Learning

    Aug 30, 2026Sheeraja Rajakrishnan, Alexander G. Ororbia, Travis Desell +1Reinforcement LearningUncertainty Estimation in RL

  3. Toward Integrating Adaptive Experience Replay and Online Uncertainty Estimation in Safe Actor-Critic Optimal Control

    Aug 5, 2026Mahshad Rastegarmoghaddam, Davoud Nikkhouy, Shima SamadzadehControl Barrier FunctionsReinforcement Learning

  4. Analytic Planning under Uncertainty with Moment Closure

    Aug 3, 2026Shishir Sharma, Doina PrecupDecision-Making under UncertaintyModel-Based RL

  5. Generalized Kalman filter based temporal difference reinforcement learning

    Jul 22, 2026Vasos Arnaoutis, Eric Lutters, Bojana RosićRL ControlReinforcement Learning

  6. Conservative Query and Adaptive Regularization for Offline RL Under Uncertainty Estimation

    Jul 21, 2026Li-Rong Zhou, Qin-Wen Luo, Sheng-Jun HuangReinforcement LearningOffline RL

  7. Information-Based Exploration via Random Features for Reinforcement Learning

    Jul 20, 2026Waris Radji, Odalric-Ambrym MaillardRL ExplorationUncertainty-Aware Exploration

  8. Trading Confidence: Comprehensive Uncertainty Estimation in Algorithmic Trading

    Jul 3, 2026Lin Li, Li Rong Wang, Hsuan Fu +1Reinforcement LearningUncertainty Quantification

  9. UBP2: Uncertainty-Balanced Preference Planning for Efficient Preference-based Reinforcement Learning

    Jun 17, 2026Mohamed Nabail, Leo Kaixuan Cheng, Jingmin Wang +1Preference-Based RLModel-Based RL

  10. A Unifying Lens on Reward Uncertainty in RLHF

    Jun 8, 2026Ely Hahami, Yoel Zimmermann, Ray Zhou +1Reward ModelingKL-Regularized RL

  11. Exploring Agentic Tool-Calling Decisions via Uncertainty-Aligned Reinforcement Learning

    Jun 5, 2026Yijin Zhou, Linqian Zeng, Xiaoya Lu +4Reinforcement LearningLLM Uncertainty Estimation

  12. All Models are Wrong, Knowing Where is Useful: On Model Uncertainty in Reinforcement Learning

    May 31, 2026Bernd Frauenknecht, Devdutt Subhasish, Artur Eisele +2Robotic RLSafe RL

  13. Efficient and Uncertainty-Aware Diffusion Framework for Offline-to-Online Reinforcement Learning

    May 29, 2026Ha Manh Bui, Metod Jazbec, Eric Nalisnick +1Reinforcement LearningDiffusion Policy

  14. Epistemic Robust Offline Reinforcement Learning

    Apr 8, 2026Abhilash Reddy Chenreddy, Erick DelageUncertainty Estimation in RLOffline RL

  15. When to ASK: Uncertainty-Gated Language Assistance for Reinforcement Learning

    Apr 2, 2026Juarez Monteiro, Nathan Gavenski, Gianlucca Zuin +1Uncertainty Estimation in RLReinforcement Learning

  16. Online Statistical Inference of Constant Sample-averaged Q-Learning

    Mar 27, 2026Saunak Kumar Panda, Tong Li, Ruiqi Liu +1Reinforcement LearningQ-Learning

  17. Uncertainty-Aware Rank-One MIMO Q Network Framework for Accelerated Offline Reinforcement Learning

    Feb 23, 2026Thanh Nguyen, Tung Luu, Tri Ton +2Uncertainty Estimation in RLOffline RL

  18. Statistical Inference for Policy Evaluation with Temporal Difference Learning

    Oct 21, 2024Weichen Wu, Gen Li, Yuting Wei +1Parameter EstimationConfidence Region Estimation