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reinforcement learning
Reinforcement Learning vs. Differentiable Programming
Check out this talk from a London meetup where I spoke on differential programming with Julia! Watch here. We’ve discussed the idea of differentiable programming, where we incorporate existing programs into deep learning models. But if you’re a researcher building, say, a self-driving car, what does differentiable programming mean in practice?... Read more
Deep Learning with Reinforcement Learning
Reinforcement learning (RL) is an area of machine learning that employs an autonomous agent that learns to perform a task by trial and error without any guidance from a human. A system of rewards and penalties compels the machine to solve a problem independently. Human involvement is limited to altering the... Read more
An Introduction to Reinforcement Learning Concepts
Individuals interested in reinforcement learning crowded into a room at ODSC Europe 2018. There, Badoo’s lead data scientist Leonardo De Marchi hosted a four-hour workshop to guide attendees through the first steps. What is reinforcement learning? Reinforcement learning is one machine learning approach. Most people know of supervised and unsupervised learning. In... Read more
A Real World Reinforcement Learning Research Program
We are hiring for reinforcement learning related research at all levels and all MSR labs. If you are interested, apply, talk to me at COLT or ICML, or email me. More generally though, I wanted to lay out a philosophy of research which differs from (and plausibly improves on) the current prevailing mode. Deepmind and OpenAI have popularized an empirical... Read more