Calibrated Model-Based Deep Reinforcement Learning

19 June 2019

Papers citing "Calibrated Model-Based Deep Reinforcement Learning"

20 / 20 papers shown

Title
Zero-shot Model-based Reinforcement Learning using Large Language Models Abdelhakim Benechehab Youssef Attia El Hili Ambroise Odonnat Oussama Zekri Albert Thomas Giuseppe Paolo Maurizio Filippone I. Redko Balázs Kégl OffRL 75 1 0 17 Feb 2025
Calibrated Probabilistic Forecasts for Arbitrary Sequences Charles Marx Volodymyr Kuleshov Stefano Ermon AI4TS 46 1 0 27 Sep 2024
Cross-Domain Policy Adaptation by Capturing Representation Mismatch Jiafei Lyu Chenjia Bai Jingwen Yang Zongqing Lu Xiu Li 32 9 0 24 May 2024
Calibration of Continual Learning Models Lanpei Li Elia Piccoli Andrea Cossu Davide Bacciu Vincenzo Lomonaco CLL 45 2 0 11 Apr 2024
Modular Conformal Calibration Charles Marx Shengjia Zhao Willie Neiswanger Stefano Ermon 36 15 0 23 Jun 2022
A Verification Framework for Certifying Learning-Based Safety-Critical Aviation Systems Ali Baheri Hao Ren B. Johnson Pouria Razzaghi Peng Wei 21 5 0 09 May 2022
Approaching sales forecasting using recurrent neural networks and transformers Iván Vallés-Pérez E. Soria-Olivas M. Martínez-Sober Antonio J. Serrano J. Gómez-Sanchís Fernando Mateo AI4TS 24 36 0 16 Apr 2022
Calibrated and Sharp Uncertainties in Deep Learning via Density Estimation Volodymyr Kuleshov Shachi Deshpande UQCV BDL 38 33 0 14 Dec 2021
Online Calibrated and Conformal Prediction Improves Bayesian Optimization Shachi Deshpande Charles Marx Volodymyr Kuleshov 13 7 0 08 Dec 2021
PAC Prediction Sets Under Covariate Shift Sangdon Park Yan Sun Insup Lee Osbert Bastani 34 43 0 17 Jun 2021
Offline Reinforcement Learning as One Big Sequence Modeling Problem Michael Janner Qiyang Li Sergey Levine OffRL 68 651 0 03 Jun 2021
Safety Enhancement for Deep Reinforcement Learning in Autonomous Separation Assurance Wei Guo Marc Brittain Peng Wei 31 18 0 05 May 2021
Combining Pessimism with Optimism for Robust and Efficient Model-Based Deep Reinforcement Learning Sebastian Curi Ilija Bogunovic Andreas Krause 39 17 0 18 Mar 2021
Uncertainty Estimation and Calibration with Finite-State Probabilistic RNNs Cheng Wang Carolin (Haas) Lawrence Mathias Niepert UQCV 29 10 0 24 Nov 2020
Individual Calibration with Randomized Forecasting Shengjia Zhao Tengyu Ma Stefano Ermon 16 57 0 18 Jun 2020
Efficient Model-Based Reinforcement Learning through Optimistic Policy Search and Planning Sebastian Curi Felix Berkenkamp Andreas Krause 33 82 0 15 Jun 2020
PAC Confidence Sets for Deep Neural Networks via Calibrated Prediction Sangdon Park Osbert Bastani Nikolai Matni Insup Lee UQCV 141 68 0 31 Dec 2019
Verified Uncertainty Calibration Ananya Kumar Percy Liang Tengyu Ma 33 346 0 23 Sep 2019
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 276 5,683 0 05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 287 9,156 0 06 Jun 2015