New posts

[OleguerCanal]

This is just for me to remember the new posts I want to write about / refactor:

• Attention-based Models & self-attention
• Graph NN
• Dimensionality reduction approaches
• Autoencoders history
• GANs history
• Paper: Analytic Manifold Learning: Unifying & Evaluating Representations for Continuous Control
• Paper: Phasic Policy Gradient https://arxiv.org/abs/2009.04416
• What is a matrix? Matrices as data vs Matrices as transformations. + interpretations. Inspiration Inspiration
• Particle filters vs HMM vs RL vs (Contextual) Bayesian Optimization vs Multi-Bandit Arm
• How to evaluate models: Common metrics depending on model's nature Precision/Recall Single&Multiple Variables, ROC AUC...
• Continual learning: Summarize references from Raia Hadsell M2L talk: https://www.sciencedirect.com/science/article/pii/S1364661320302199

Refactor/Review:

• First three lectures of RL: Change order and unify style
• Distributions post: Add distributions and meaning, Add KL generalizations, Jensen–Shannon divergence, Total variation distance, Wasserstein metric...
• Model-free RL
• Model-based RL: Watch new lectures and try to re-organize writing
• Compress oleguer profile picture