New posts - Githubissues

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

[ ] Attention-based Models & self-attention
[ ] Graph NN
[x] 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:

[x] 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

CampusAI / CampusAI.github.io