Here is the syllabus for this course: Part 1: Introduction to Reinforcement Learning Section 1: Markov Decision Processes (MDPs) Introduction to MDPs Policies and value functions Learning optimal policies and value functions Section 2: Q-learning Introduction to Q-learning with value iter...
👉 The course:https://huggingface.co/deep-rl-course/unit0/introduction 📚 The syllabus:https://simoninithomas.github.io/deep-rl-course/ In this updated free course, you will: 📖Study Deep Reinforcement Learningin theory and practice. ...
Syllabus WEEK 1 Welcome to the Course! Welcome to: Fundamentals of Reinforcement Learning, the first course in a four-part specialization on Reinforcement Learning brought to you by the University of Alberta, Onlea, and Coursera. In this pre-course module, you'll be introduced to your instructo...
*This article is part of the Deep Reinforcement Learning Class. A free course from beginner to expert. Check the syllabus [here.](https://github.com/huggingface/deep-rl-class)* ---[In Unit 5](https://huggingface.co/blog/deep-rl-pg), we learned...
Syllabus Week 1 Intro: why should i care? In this module we gonna define and "taste" what reinforcement learning is about. We'll also learn one simple algorithm that can solve reinforcement learning problems with embarrassing efficiency.
This study was conducted by subcommittees within the Committee for Validation and Examination of Degrees, the members of which should be well-versed in the syllabus of each course to ensure appropriate classification. The number of applicants has been increasing annually, and th...
Syllabus OpenAI research Emergent Tool Use from Multi-Agent Interaction Learning Dexterity Emergent Complexity via Multi-Agent Competition Competitive Self-Play Better Exploration with Parameter Noise Proximal Policy Optimization Evolution Strategies as a Scalable Alternative to Reinforcement Learning ...
Lecture Slides See Syllabus for more information. Introduction and Course OverviewlinkSupervised Learning and ImitationlinkTensorFlow and Neural Nets Review Session (notebook)linkReinforcement Learning IntroductionlinkPolicy Gradients IntroductionlinkActor-Critic IntroductionlinkValue Functions and Q-LearninglinkAdvan...
Lecture Slides See Syllabus for more information. Introduction and Course Overview link Supervised Learning and Imitation link TensorFlow and Neural Nets Review Session (notebook) link Reinforcement Learning Introduction link Policy Gradients Introduction link Actor-Critic Introduction link Value Functions and...
This project was developed as an updating course during the second semester of 2009. This study was presented because San Francisco de Asís University did not have English courses as a foreign language on its syllabus. This work pretended to develop students' English language skills through video...