A Review of Uncertainty for Deep Reinforcement Learning

18 August 2022

Papers citing "A Review of Uncertainty for Deep Reinforcement Learning"

7 / 7 papers shown

Title
Disentangling Uncertainty for Safe Social Navigation using Deep Reinforcement Learning Daniel Flögel Marcos Gómez Villafane Joshua Ransiek Sören Hohmann 28 0 0 16 Sep 2024
Robots that Suggest Safe Alternatives Hyun Joe Jeong Andrea V. Bajcsy Andrea Bajcsy OffRL 43 1 0 15 Sep 2024
On the Theory of Risk-Aware Agents: Bridging Actor-Critic and Economics Michal Nauman Marek Cygan 35 1 0 30 Oct 2023
Uncertainty-aware transfer across tasks using hybrid model-based successor feature reinforcement learning Parvin Malekzadeh Ming Hou Konstantinos N. Plataniotis 43 1 0 16 Oct 2023
Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble Gaon An Seungyong Moon Jang-Hyun Kim Hyun Oh Song OffRL 102 262 0 04 Oct 2021
Offline Reinforcement Learning: Tutorial, Review, and Perspectives on Open Problems Sergey Levine Aviral Kumar George Tucker Justin Fu OffRL GP 340 1,955 0 04 May 2020
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 285 9,138 0 06 Jun 2015