Evolved Policy Gradients

Learning a Hierarchy

Faster Physics in Python

Robots that Learn

We've created a robotics system, trained entirely in simulation and deployed on a physical robot, which can learn a new task after seeing it done once.

Evolution Strategies as a Scalable Alternative to Reinforcement Learning

We've discovered that evolution strategies (ES), an optimization technique that's been known for decades, rivals the performance of standard reinforcement learning (RL) techniques on modern RL benchmarks, while overcoming many of RL's inconveniences.

Generative Models

This post describes four projects that share a common theme of enhancing or using generative models, a branch of unsupervised learning techniques in machine learning.