Engineering Insights

Next.js 3.0

We are very excited excited to announce the stable release of Next.js 3.0. Ever since our , we have been using it to power  and have received lots of feedback and contributions from our .beta announcementvercel.comcommunity Let’s walk through what’s been improved and what’s altogether new, or fetch the latest version from !npm  Next.js is a zero-configuration, single-command toolchain for React apps, with built-in server-rendering, code-splitting and more. Check out  to get started!New to Next.j

Gathering human feedback

RL-Teacher is an open-source implementation of our interface to train AIs via occasional human feedback rather than hand-crafted reward functions. The underlying technique was developed as a step towards safe AI systems, but also applies to reinforcement learning problems with rewards that are hard to specify.

Node.js 6.11.2 (LTS)

New Tooling to Improve Your GraphQL Workflows | Prisma

Explore new GraphQL tooling like GraphQL Config and related libraries that improve project setup, tooling integration, and workflows.

Better exploration with parameter noise

We’ve found that adding adaptive noise to the parameters of reinforcement learning algorithms frequently boosts performance. This exploration method is simple to implement and very rarely decreases performance, so it’s worth trying on any problem.

Node.js 8.2.1 (Current)

Proximal Policy Optimization

We’re releasing a new class of reinforcement learning algorithms, Proximal Policy Optimization (PPO), which perform comparably or better than state-of-the-art approaches while being much simpler to implement and tune. PPO has become the default reinforcement learning algorithm at OpenAI because of its ease of use and good performance.

Node.js 8.2.0 (Current)