YoVDO

TF-Agents - A Flexible Reinforcement Learning Library for TensorFlow

Offered By: TensorFlow via YouTube

Tags

Deep Reinforcement Learning Courses TensorFlow Courses Deep Q-Learning Courses Policy Gradient Courses

Course Description

Overview

Explore recent advancements in Deep Reinforcement Learning and learn how to leverage TF-Agents, an open-source library for TensorFlow, in this 39-minute conference talk from Google I/O'19. Discover the clean, modular, and well-tested components of TF-Agents that can be mixed, matched, and extended to implement new RL algorithms. Gain insights into supervised learning, CartPole policy gradients, Atari Deep Q-Learning, and Minitaur Soft Actor Critic. Jump-start your Deep RL project with practical demonstrations and expert guidance from speakers Sergio Guadarrama and Eugene Brevdo.

Syllabus

Intro
Supervised Learning
CartPole Policy Gradients
Atari Deep Q-Learning
Minitaur Soft Actor Critic


Taught by

TensorFlow

Related Courses

Creative Applications of Deep Learning with TensorFlow
Kadenze
Creative Applications of Deep Learning with TensorFlow III
Kadenze
Creative Applications of Deep Learning with TensorFlow II
Kadenze
6.S191: Introduction to Deep Learning
Massachusetts Institute of Technology via Independent
Learn TensorFlow and deep learning, without a Ph.D.
Google via Independent