Description
Next-Gen AI: Deep Reinforcement Learning in PyTorch IV is a course on advanced deep reinforcement learning techniques using PyTorch published by Udemy Online Academy. Designed for AI professionals, machine learning engineers, and researchers with a strong understanding of reinforcement learning principles, this course focuses on building intelligent agents that are capable of solving complex decision-making problems in dynamic environments. Students will implement advanced reinforcement learning algorithms, optimize neural network architectures, and use PyTorch to train high-performance agents for applications such as robotics, autonomous systems, game AI, and optimization.
Deep learning has evolved rapidly in this valuable course. Algorithms such as DQN, DDPG, and TD3 paved the way, but modern experts rely on entropy-regulated methods and trust region optimization to achieve robust learning in complex environments. If you are a programmer, data scientist, or AI enthusiast who wants to master the most important modern deep reinforcement learning algorithms and if you want to understand SAC, PPO, and TRPO at a deep level, this course is for you.
What you will learn in Next-Gen AI: Deep Reinforcement Learning in PyTorch IV:
- Review of Reinforcement Learning Fundamentals: MDPs, Bellman Equation, Q-Learning
- SAC (Soft-Critic) Theory and Implementation
- PPO (Proximal Policy Optimization) Theory and Implementation
- TRPO (Trust Zone Policy Optimization) Fundamentals
- Applications of Reinforcement Learning in Various Practical and Real-World Environments (Physics Simulators, Stock Market)
- And…
Course specifications
Publisher: Udemy
Instructors: Lazy Programmer Team and Lazy Programmer Inc.
Language: English
Level: Advanced
Number of Lessons: 81
Duration: 19 hours and 1 minutes
Course topics
Next-Gen AI: Deep Reinforcement Learning in PyTorch IV Prerequisites
Reinforcement Learning fundamentals: MDPs, Bellman Equation, Monte Carlo Methods, Temporal Difference Learning
Undergraduate STEM math: calculus, probability, statistics
Python programming and numerical computing (Numpy, Matplotlib, etc.)
Deep Learning fundamentals: neural networks, hyperparameter optimization, etc.
Pictures
Next-Gen AI: Deep Reinforcement Learning in PyTorch IV introduction video
Installation guide
After Extract, watch with your favorite Player.
Subtitle: None
Quality: 1080p
Downloadly link
Rapidgator link
File password (s): www.downloadly.ir
Size
11.7 GB
