All software
MATLAB scripts created during the work on "Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV"
MATLAB scripts created during the work on "Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV"
- PIV (Particle Image Velocimetry)
- Uncertainty Quantification
MATLAB scripts created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification"
MATLAB scripts created during the work on "Design of experiments: a statistical tool for PIV uncertainty quantification"
- Design of Experiement (DOE)
- Particle Image Velocimetry
- systematic uncertainty
- + 1
Bayesian Ensembles for Exploration in Deep Reinforcement Learning; Code underlying the dissertation "Bayesian Model-Free Deep Reinforcement Learning"
Bayesian Ensembles for Exploration in Deep Reinforcement Learning; Code underlying the dissertation "Bayesian Model-Free Deep Reinforcement Learning"
- Bayesian modelling
- Deep Reinforcement Learning (DRL)
- Ensemble model
- + 2
- (Markdown)
- (Python)
Code accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model"
Code accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model"
- data augmentation
- deep ensembles
- Machine learning
- + 2
Code accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model" - VizDoom
Code accompanying the paper "Contextual Similarity Distillation: Ensemble Uncertainties with a Single Model" - VizDoom
- data augmentation
- deep ensembles
- Machine learning
- + 2
Code accompanying the paper "Universal Value-Function Uncertainties"
Code accompanying the paper "Universal Value-Function Uncertainties"
- deep ensembles
- deep learning
- Exploration
- + 4
diverse-projection-ensembles
Code accompanying the paper "Diverse projection ensembles for distributional reinforcement learning"
- deep learning
- Distributional Reinforcement Learning
- Exploration
- + 4
- (Markdown)
- (Other)
- (Python)
epistemic-bellman-operators
Epistemic Bellman Operators; code underlying the dissertation ‘Bayesian Model-Free Deep Reinforcement Learning’
- Bayesian modelling
- Deep Reinforcement Learning (DRL)
- dynamic programming
- + 2
- ("Jupyter Notebook")
- (Markdown)
- (Python)