Deep reinforcement learning

Reinforcement Learning 5: Function Approximation and Deep Reinforcement Learning

Hado Van Hasselt, Research Scientist, discusses function approximation and deep reinforcement learning as part of the Advanced Deep Learning & Reinforcement Learning Lectures.

From playlist DeepMind x UCL | Reinforcement Learning Course 2018

What Is Deep Learning?

Deep learning is a machine learning technique that learns features and tasks directly from data. This data can include images, text, or sound. The video uses an example image recognition problem to illustrate how deep learning algorithms learn to classify input images into appropriate ca

From playlist Introduction to Deep Learning

Deep Reinforcement Learning: Neural Networks for Learning Control Laws

Deep learning is enabling tremendous breakthroughs in the power of reinforcement learning for control. From games, like chess and alpha Go, to robotic systems, deep neural networks are providing a powerful and flexible representation framework that fits naturally with reinforcement learni

From playlist Reinforcement Learning

Deep Learning with R for Beginners

Deep learning (also known as deep structured learning) is part of a broader family of machine learning methods based on artificial neural networks with representation learning. Learning can be supervised, semi-supervised or unsupervised. #Deep_learning architectures such as deep neural ne

From playlist Deep Learning

Reinforcement Learning Course - Full Machine Learning Tutorial

Reinforcement learning is an area of machine learning that involves taking right action to maximize reward in a particular situation. In this full tutorial course, you will get a solid foundation in reinforcement learning core topics. The course covers Q learning, SARSA, double Q learning

From playlist Machine Learning

Overview of Deep Reinforcement Learning Methods

This video gives an overview of methods for deep reinforcement learning, including deep Q-learning, actor-critic methods, deep policy networks, and policy gradient optimization algorithms. This is a lecture in a series on reinforcement learning, following the new Chapter 11 from the 2nd

From playlist Reinforcement Learning

Reinforcement Learning 1: Introduction to Reinforcement Learning

Hado Van Hasselt, Research Scientist, shares an introduction reinforcement learning as part of the Advanced Deep Learning & Reinforcement Learning Lectures.

From playlist DeepMind x UCL | Reinforcement Learning Course 2018

Deep Q-Learning - Combining Neural Networks and Reinforcement Learning

Welcome back to this series on reinforcement learning! In this video, we'll finally bring artificial neural networks into our discussion of reinforcement learning! Specifically, we'll be building on the concept of Q-learning we've discussed over the last few videos to introduce the concept

From playlist Reinforcement Learning - Developing Intelligent Agents

Reinforcement Learning: Deep Q-Learning - Session 8

Deep-Q: Replace the value function with a neural network The Deep-Q Algorithm Notebook Exercise II: Deep-Q cliff walking

From playlist Reinforcement Learning

Reinforcement learning: Fast and slow - Matthew Botvinick

Matthew Botvinick’s work straddles the boundaries between cognitive psychology, computational and experimental neuroscience and artificial intelligence. In this talk Dr. Botvinick will review recent developments in deep reinforcement learning (RL), showing how deep RL can proceed rapidly,

From playlist Wu Tsai Neurosciences Institute

Deep Reinforcement Learning for Fluid Dynamics and Control

Reinforcement learning based on deep learning is currently being used for impressive control of fluid dynamic systems. This video will describe recent advances, including for mimicking the behavior of birds and fish, for turbulence closure modeling with sub-grid-scale models, and for robo

From playlist Reinforcement Learning

SDS 551: Deep Reinforcement Learning — with Wah Loon Keng

#DeepReinforcementLearning #ReinforcemenLearning #AIEngineering In this episode, gifted author and software engineer Wah Loon Keng joins the podcast to dive deep into reinforcement learning. From its history to limitations, modern industrial applications, and future developments– there's

From playlist Super Data Science Podcast

CS294-112 1/18/17

From playlist CS294-112 Deep Reinforcement Learning Sp17

SDS 510: Deep Reinforcement Learning — with Jon Krohn

In this episode, I dive into the world of reinforcement learning and deep reinforcement learning and the benefits of both. Additional materials: https://www.superdatascience.com/510

From playlist Super Data Science Podcast

Reinforcement Learning Series: Overview of Methods

This video introduces the variety of methods for model-based and model-free reinforcement learning, including: dynamic programming, value and policy iteration, Q-learning, deep RL, TD-learning, SARSA, policy gradient optimization, among others. This is the overview in a series on reinfo

From playlist Reinforcement Learning

Reinforcement Learning, Fast and Slow

Abstract: Deep reinforcement learning (RL) methods have driven impressive advances in artificial intelligence in recent years, exceeding human performance in domains ranging from Atari to Go to no-limit poker. This progress has drawn the attention of cognitive scientists interested in unde

From playlist Reinforcement Learning

Reinforcement Learning Series Intro - Syllabus Overview

Welcome to this series on reinforcement learning! We'll first start out by introducing the absolute basics to build a solid ground for us to run. We'll then progress onto more advanced and sophisticated topics that integrate artificial neural networks and deep learning into reinforcement

From playlist Reinforcement Learning - Developing Intelligent Agents

Reinforcement Learning 8: Advanced Topics in Deep RL

Hado Van Hasselt, Research Scientist, discusses advanced topics as part of the Advanced Deep Learning & Reinforcement Learning Lectures.

From playlist DeepMind x UCL | Reinforcement Learning Course 2018