ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2210.03649
  4. Cited By
How to Enable Uncertainty Estimation in Proximal Policy Optimization

How to Enable Uncertainty Estimation in Proximal Policy Optimization

7 October 2022
Eugene Bykovets
Yannick Metz
Mennatallah El-Assady
Daniel A. Keim
J. M. Buhmann
    UQCV
ArXivPDFHTML

Papers citing "How to Enable Uncertainty Estimation in Proximal Policy Optimization"

3 / 3 papers shown
Title
Spatial-aware decision-making with ring attractors in reinforcement learning systems
Spatial-aware decision-making with ring attractors in reinforcement learning systems
Marcos Negre Saura
Richard Allmendinger
Theodore Papamarkou
Wei Pan
166
0
0
17 Feb 2025
Simple and Scalable Predictive Uncertainty Estimation using Deep
  Ensembles
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles
Balaji Lakshminarayanan
Alexander Pritzel
Charles Blundell
UQCV
BDL
276
5,661
0
05 Dec 2016
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
285
9,145
0
06 Jun 2015
1