Share this link via
Or copy link
Deep Reinforcement Learning
Nvidia Deep Learning Institute and Unity via Udacity Nanodegree
Bookmark
0
Likes
0
Overview
"Deep Reinforcement Learning" is an advanced course designed to teach learners how to build intelligent agents that learn to make decisions through interaction with dynamic environments. Blending deep learning with reinforcement learning principles, the course explores cutting-edge techniques used in robotics, gaming, autonomous systems, and AI research. The curriculum starts with the foundations of reinforcement learning—Markov Decision Processes, policies, value functions, and Q-learning—before progressing into deep reinforcement learning methods such as Deep Q-Networks (DQN), Policy Gradient methods, Actor-Critic models, and advanced...
Syllabus
- Introduction to Deep Reinforcement Learning
- Value-Based Methods
- Apply deep learning architectures to reinforcement learning tasks. Train your own agent that navigates a virtual world from sensory data.
- Policy-Based Methods
- Multi-Agent Reinforcement Learning
- Special Topics in Deep Reinforcement Learning
- Neural Networks in PyTorch
- Computing Resources
- C++ Programming
Nvidia Deep Learning Institute and Unity via Udacity Nanodegree
16 hours
Certificate Available
English
Advanced
Instructor
Mat Leonard
Reviews
No reviews yet. Be the first to review!
Alternative Courses
Introduction to AI Programming Welcome to the AI programming with...
Free
You must be logged in to submit a review.