Current

Intermediate

Simplified Artificial Intelligence (AI): What AI is, what it is NOT, and ...

Skillshare · Skillshare Instructor · Updated March 2026

Platform rating

4.5/5

Champ rating

8.4/10

Duration

Self-paced

Classes

8

But broadly speaking, in reinforcement learning is the ability to learn by exploration. You put an agent into an environment. And by exploring the environment ...

What you'll get

Understand reinforcement learning fundamentals

Apply AI decision-making to game environments

Implement reward-based learning algorithms

Build intelligent agents that improve over time

Course Curriculum

3 chapters

Fit

Best for

ML Engineers

Data Scientists

AI Researchers

Deep Learning Practitioners

Not ideal for

Learners seeking only entry-level overviews

Prerequisites & pricing

Prerequisites

Skillshare membership

Pricing

Skillshare Premium ($13.99/mo)

Certification

No

Reinforcement Learning

AI

Machine Learning

Game AI

Decision Making

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Third methodology is reinforcement learning. It focuses on training models to make decisions through trial and error, receiving feedback from the environment ...

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The model generates multiple candidate actions and deep reinforcement learning, RL is used to optimize a policy that selects actions from among the candidates.

Master reinforcement learning from University of Alberta covering MDPs, value functions, policy methods, and deep RL.

Learn the basics of reinforcement learning including Markov Decision Processes, value functions, and dynamic programming.