Normalizing Flows for Policy Representation in Reinforcement Learning

In part 3 on Normalizing Flows, we will discuss how Reinforcement Learning could benefit from this class of methods for policy …

Emerging Applications of Normalizing Flows in Reinforcement Learning

This is Part 2 on Normalizing Flows.

An Introduction to Normalizing Flows

Normalizing Flows are a new class of methods that transform a simple input distribution (e.g. Gaussian) into a complex distribution through …

The Levenshtein Transformer

Although just released in 2017, the Transformer architecture (Vaswani et al.) has widely become the de facto standard approach for …

Part 2: An Introduction to Image Synthesis with Generative Adversarial Nets

An Introduction to Image Synthesis with Generative Adversarial Nets

A Style-Based Generator Architecture for Generative Adversarial Networks

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Principled methods for training GANs