GAN

A neural network architecture which consists of two neural networks - a generator that creates data and a discriminator that evaluates it — trained adversarially to produce outputs that resemble real data. ...

May 1, 2023 · 9 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Learning

February 19, 2023 · 16 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Inference

February 2, 2023 · 27 min · Trung H. Nguyen

Categorical Reparameterization with Gumbel-Softmax & Concrete Distribution

Notes on using Gumbel-Softmax & Concrete Distribution in Categorical sampling ...

January 2, 2023 · 9 min · Trung H. Nguyen

Maximum Entropy Reinforcement Learning via Soft Q-learning & Soft Actor-Critic

Notes on Entropy-Regularized Reinforcement Learning via SQL & SAC ...

December 27, 2022 · 11 min · Trung H. Nguyen

Read-through: Probabilistic Graphical Models - Representation

December 10, 2022 · 44 min · Trung H. Nguyen

Deterministic Policy Gradients

The generalization of policy gradient theorems into deterministic case and corresponding policy gradient algorithms. ...

December 2, 2022 · 12 min · Trung H. Nguyen