# Deep Reinforcement Learning Course

Source: https://freeaicourses.com/courses/hugging-face-deep-rl-course
Last checked: 2026-09-15

## Who it is for

- Coders who've done an intro ML course
- Anyone curious about game-playing agents

## Who should skip it

- Beginners
- People who want LLM skills specifically

## What you can do afterwards

- Explain value-based and policy-based RL
- Train agents in simulated environments
- Share trained agents on the Hugging Face Hub

## What the course covers

- Foundations: Rewards, policies and value functions.
- Deep Q-learning: Using neural networks to estimate value.
- Policy gradient methods: Learning a policy directly.

## What works

- Visual, game-based environments
- Clear explanations of hard ideas
- Hands-on every unit

## What does not

- Maths gets serious
- Some environments are fiddly to set up

## Take after

Neural Networks: Zero to Hero

## Verdict

The most approachable free route into reinforcement learning, and much more hands-on than university lectures. You'll need to be comfortable with ML basics and some maths.

## Related pages

- [Neural Networks: Zero to Hero](https://freeaicourses.com/courses/neural-networks-zero-to-hero)
- [Hugging Face Learn](https://freeaicourses.com/platforms/hugging-face)
- [All free AI courses, rated](https://freeaicourses.com/courses)