Reinforcement Learning Archives

Reinforcement Learning

Watch: Imitation Learning: Reinforcement Learning For The Real World

Conferences Deep Learning Imitation Learning Reinforcement Learningposted by ODSC Team August 19, 2019

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... Read more

Bears Need to Learn as well – Practical Reinforcement Learning with TensorFlow 2.0 & TF-Agents

Blogs from ODSC Speakers Conferences Modeling ODSC Speaker Reinforcement Learning TensorFlow West 2019posted by Oliver Zeigermann July 25, 2019

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... Read more

Watch: Introduction to Reinforcement Learning

Machine Learning Modeling Reinforcement Learningposted by ODSC Team July 22, 2019

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... Read more

Reinforcement Learning vs. Differentiable Programming

Deep Learning Guest contributor Modeling Deep Learning Reinforcement Learningposted by Mike Innes March 27, 2019

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... Read more

Deep Learning with Reinforcement Learning

Deep Learning Featured Post Modeling Deep Learning Reinforcement Learningposted by Daniel Gutierrez, ODSC February 20, 2019

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... Read more

An Introduction to Reinforcement Learning Concepts

Conferences Modeling Machine Learning Reinforcement Learningposted by Diego Arenas, ODSC November 6, 2018

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... Read more