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What You Need to Know about DeepMind’s BSuite
Imagine this. You know that reinforcement learning has been responsible for some of AI’s most significant advancements. You’re in the exploratory phase of implementing your first project. You’d love a way to evaluate whether your RL agent is appropriate for the task you have, something not always apparent without... Read more
Behavior Suite for Reinforcement Learning
A team from DeepMind Technologies—made up of Ian Osband, Yotam Doron, Matteo Hessel, John Aslanides, Eren Sezner, Andre Saraiva, Katrina McKinney, Tor Lattimore, Csaba Szepezvari, Satinder Singh, Benjamin Van Roy, Richard Sutton, David Silver, and Hado Van Hesselt—has recently published a piece on their new program Behavior Suite (bsuite... Read more
Best Deep Reinforcement Learning Research of 2019 So Far
In this article, I’ve conducted an informal survey of all the deep reinforcement learning research thus far in 2019 and I’ve picked out some of my favorite papers. This list should make for some enjoyable summer reading!   As we... Read more
Watch: Imitation Learning: Reinforcement Learning For The Real World
This talk will introduce the formal Imitation Learning problem and discuss two main categories of agent training in the Imitation Learning paradigm: behavioral cloning and interactive experts. The talk will also include examples of where it could be used to solve real-world problems and a demonstration of the DAgger... Read more
Bears Need to Learn as well – Practical Reinforcement Learning with TensorFlow 2.0 & TF-Agents
Editor’s Note: Oliver is speaking at ODSC West 2019, see his talk “Reinforcement Learning with TF Agents & TensorFlow 2.0: Hands On” there. Have a look at our friend Orso the bear.  Orso lives in his cave and knows his area and where he can typically find some honey.... Read more
Watch: Introduction to Reinforcement Learning
Reinforcement Learning (RL), the field of sequential decision making, has evolved significantly within the last few years, achieving super-human performance in solving complex board games, 2D Atari and 3D games (Doom, Quake, StarCraft). But this is not just about games, this is about solving arbitrary problems with truly general... Read more
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... 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... 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.... Read more