Advanced AI: Deep Reinforcement Learning in PyTorch (v2)

Editorial course preview

What the public course preview actually shows

These 3 complementary views highlight concrete, legible examples from the course presentation.

A presentation slide titled 'What will you learn?' listing Deep Q-Learning and Advantage Actor-Critic algorithms with bullet points, accompanied by a cartoon illustration of a boy. — Preview 1 of 3
This educational slide outlines the curriculum for advanced reinforcement learning, specifically detailing topics like Deep Q-Learning (DQN) and Advantage Actor-Critic (A2C).

A presentation slide titled 'From Scratch!' featuring text about building from scratch and a photo of a wooden house frame under construction against a blue sky. — Preview 2 of 3
This slide emphasizes the course's focus on building projects from scratch rather than relying on single lines of code, illustrated by an image of a house frame under construction.

A presentation slide titled 'What Is This Course About?' featuring a cartoon robot with a speech bubble and text explaining the combination of Reinforcement Learning and Deep Neura — Preview 3 of 3
This introductory slide outlines the course focus on combining Reinforcement Learning and Deep Neural Networks, citing examples like AlphaGo and ChatGPT.