Direct Download Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0 (2018)

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Udacity - Deep Reinforcement Learning Nanodegree nd893 v1.0.0 (2018)
WEBRip | English | MP4 | 1280 x 720 | AVC ~274 kbps | 29.970 fps
AAC | 192 Kbps | 44.1 KHz | 2 channels | 30:55:28 | 2.3 GB

Genre: Video Tutorial
Deep reinforcement learning is one of AI's hottest fields. Researchers, engineers, and investors are excited by its world-changing potential. In this advanced program, you'll master techniques like Deep Q-Learning and Actor-Critic Methods, and connect with experts from NVIDIA and Unity as you build a portfolio of your own reinforcement learning projects.
Content:

Part 01-Module 01-Lesson 01_Welcome to Deep Reinforcement Learning
Part 01-Module 01-Lesson 02_Get Help from Peers and Mentors
Part 01-Module 01-Lesson 03_Get Help with Your Account
Part 01-Module 01-Lesson 04_Learning Plan
Part 01-Module 01-Lesson 05_Introduction to RL
Part 01-Module 01-Lesson 06_The RL Framework The Problem
Part 01-Module 01-Lesson 07_The RL Framework The Solution
Part 01-Module 01-Lesson 08_Monte Carlo Methods
Part 01-Module 01-Lesson 09_Temporal-Difference Methods
Part 01-Module 01-Lesson 10_Solve OpenAI Gym's Taxi-v2 Task
Part 01-Module 01-Lesson 11_RL in Continuous Spaces
Part 01-Module 01-Lesson 12_What's Next
Part 02-Module 01-Lesson 01_Study Plan
Part 02-Module 01-Lesson 02_Deep Q-Networks
Part 02-Module 01-Lesson 03_Deep RL for Robotics
Part 02-Module 01-Lesson 04_Navigation
Part 02-Module 02-Lesson 01_Opportunities in Deep Reinforcement Learning
Part 02-Module 02-Lesson 02_Optimize Your GitHub Profile
Part 03-Module 01-Lesson 01_Study Plan
Part 03-Module 01-Lesson 02_Introduction to Policy-Based Methods
Part 03-Module 01-Lesson 03_Policy Gradient Methods
Part 03-Module 01-Lesson 04_Proximal Policy Optimization
Part 03-Module 01-Lesson 05_Actor-Critic Methods
Part 03-Module 01-Lesson 06_Deep RL for Finance (Optional)
Part 03-Module 01-Lesson 07_Continuous Control
Part 03-Module 02-Lesson 01_Strengthen Your Online Presence Using LinkedIn
Part 04-Module 01-Lesson 01_Study Plan
Part 04-Module 01-Lesson 02_Introduction to Multi-Agent RL
Part 04-Module 01-Lesson 03_Case Study AlphaZero
Part 04-Module 01-Lesson 04_Collaboration and Competition
Part 05-Module 01-Lesson 01_Dynamic Programming
Part 06-Module 01-Lesson 01_Neural Networks
Part 06-Module 01-Lesson 02_Convolutional Neural Networks
Part 06-Module 01-Lesson 03_Deep Learning with PyTorch
Part 07-Module 01-Lesson 01_Cloud Computing
Part 07-Module 01-Lesson 02_Udacity Workspaces
Part 08-Module 01-Lesson 01_C++ Getting Started
Part 08-Module 01-Lesson 02_C++ Vectors
Part 08-Module 01-Lesson 03_Practical C++
Part 08-Module 01-Lesson 04_C++ Object Oriented Programming
Part 08-Module 02-Lesson 01_C++ Intro to Optimization
Part 08-Module 02-Lesson 02_C++ Optimization Practice







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