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TORRENT DETAILS
Udemy - An Introduction To Ai Agents
TORRENT SUMMARY
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Language: English | Size: 214.06 MB | Duration: 0h 45m
From Goal Based to Self Learning AI Agnts
What you'll learn
Define the concept of an AI agent and its components, such as sensors, actuators, state, and goals.
Compare and contrast different types of AI agents, such as simple reflex agents, model-based agents, goal-based agents, utility-based agents, learning agents
Implement AI agents using Python and various tools and frameworks, such as ML-Agents, Q-learning, and reinforcement learning.
Apply AI agents to solve real-world problems, such as games, robotics, natural language processing, and computer vision.
Requirements
A basic understanding of Python, Neural Networks, and Machine Learning is recommended for this course.
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FILE LIST
Filename
Size
~Get Your Files Here !/1 - Introduction Simple Reflex Agents.mp4
42.2 MB
~Get Your Files Here !/1 - Simple-Reflex-Agents-Handout.pdf
52.8 KB
~Get Your Files Here !/2 - Model Based Reflex Agents.mp4
24.5 MB
~Get Your Files Here !/2 - Model-Based-Reflex-Agent-Handout.pdf
73.5 KB
~Get Your Files Here !/3 - Goal Based Agents.mp4
35.1 MB
~Get Your Files Here !/3 - Goal-Based-Agents-Handout-1.pdf
69.6 KB
~Get Your Files Here !/4 - Utility Based Agents.mp4
41.3 MB
~Get Your Files Here !/4 - Utility-Based-Agents-Handout.pdf
61 KB
~Get Your Files Here !/5 - Learning Agents.mp4
42.1 MB
~Get Your Files Here !/5 - Learning-Agents-Handout.pdf
71.4 KB
~Get Your Files Here !/6 - Hierarchical Agents.mp4
28.5 MB
~Get Your Files Here !/6 - Hierarchical-Agent-Handout.pdf