Successor Uncertainties: Exploration and Uncertainty in Temporal
Difference Learning

Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning

15 October 2018

Przemysław Mazur

José Miguel Hernández-Lobato

Sebastian Tschiatschek

Papers citing "Successor Uncertainties: Exploration and Uncertainty in Temporal Difference Learning"

8 / 8 papers shown

Title
World Models with Hints of Large Language Models for Goal Achieving Zeyuan Liu Ziyu Huan Xiyao Wang Jiafei Lyu Jian Tao Xiu Li Furong Huang Huazhe Xu LM&Ro LRM AI4CE 43 1 0 11 Jun 2024
Diverse Projection Ensembles for Distributional Reinforcement Learning Moritz A. Zanger Wendelin Bohmer M. Spaan 22 4 0 12 Jun 2023
Adapting the Linearised Laplace Model Evidence for Modern Deep Learning Javier Antorán David Janz J. Allingham Erik A. Daxberger Riccardo Barbano Eric T. Nalisnick José Miguel Hernández-Lobato UQCV BDL 27 28 0 17 Jun 2022
Exploration in Deep Reinforcement Learning: A Survey Pawel Ladosz Lilian Weng Minwoo Kim H. Oh OffRL 23 323 0 02 May 2022
Exploration in Deep Reinforcement Learning: From Single-Agent to Multiagent Domain Jianye Hao Tianpei Yang Hongyao Tang Chenjia Bai Jinyi Liu Zhaopeng Meng Peng Liu Zhen Wang OffRL 33 92 0 14 Sep 2021
A Survey of Exploration Methods in Reinforcement Learning Susan Amin Maziar Gomrokchi Harsh Satija H. V. Hoof Doina Precup OffRL 16 80 0 01 Sep 2021
Actionable Models: Unsupervised Offline Reinforcement Learning of Robotic Skills Yevgen Chebotar Karol Hausman Yao Lu Ted Xiao Dmitry Kalashnikov ... A. Irpan Benjamin Eysenbach Ryan C. Julian Chelsea Finn Sergey Levine SSL OffRL 18 145 0 15 Apr 2021
DEUP: Direct Epistemic Uncertainty Prediction Salem Lahlou Moksh Jain Hadi Nekoei V. Butoi Paul Bertin Jarrid Rector-Brooks Maksym Korablyov Yoshua Bengio PER UQLM UQCV UD 202 81 0 16 Feb 2021