A grand challenge in reinforcement learning is intelligent exploration, especially when rewards are sparse or deceptive. Two Atari games serve as benchmarks for such hard-exploration domains:...

We define general linguistic intelligence as the ability to reuse previously acquired knowledge about a language's lexicon, syntax, semantics, and pragmatic conventions to adapt to new tasks...

For educational materials related to the spinning up workshops. - openai/spinningup-workshop

I had job offers to work as a software engineer at Google, Facebook, Amazon, Apple, LinkedIn, and Yelp. Here’s how I negotiated them.

160 votes and 67 comments so far on Reddit

Recent works have highlighted the strength of the Transformer architecture on sequence tasks while, at the same time, neural architecture search (NAS) has begun to outperform human-designed...

Today's episode of “something I didn't know about C++”:

class whynot { friend void; };

While machine translation has traditionally relied on large amounts of parallel corpora, a recent research line has managed to train both Neural Machine Translation (NMT) and Statistical Machine...

We describe TF-Replicator, a framework for distributed machine learning
designed for DeepMind researchers and implemented as an abstraction over
TensorFlow. TF-Replicator simplifies writing...

From the early days of computing, games have been important testbeds for studying how well machines can do sophisticated decision making. In recent years, machine learning has made dramatic...

EsoLangVM Compiler Infrastructure. Contribute to shinh/elvm development by creating an account on GitHub.

A Fistful of Samples

Federated Learning is a distributed machine learning approach which enables model training on a large corpus of decentralized data. We have built a scalable production system for Federated...

The CIFAR-10 and CIFAR-100 datasets are two of the most heavily benchmarked datasets in computer vision and are often used to evaluate novel methods and model architectures in the field of deep...

We introduce a general categorical framework to reason about quantum theory
and other process theories living in spacetimes where Closed Timelike Curves
(CTCs) are available, allowing resources to...