# simoninithomas/Deep_reinforcement_learning_Course

Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

Repository: https://github.com/simoninithomas/Deep_reinforcement_learning_Course
Canonical: https://ross.abutalabs.com/products/deep_reinforcement_learning_course
Homepage: http://www.simoninithomas.com/deep-rl-course
Language: Jupyter Notebook
License Family: other
Topics: deep-reinforcement-learning, qlearning, deep-learning, tensorflow-tutorials, tensorflow, ppo, a2c, actor-critic, deep-q-network, deep-q-learning, pytorch, unity
Last push: 2023-05-02T12:25:40+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3083, "days_push": 1219, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3900, forks 1216 (observed 2026-08-28T04:08:28.576953+00:00)

## What it is
A collection of Jupyter Notebook implementations from the free 'Deep Reinforcement Learning' course, covering algorithms like DQN, PPO, and A2C with TensorFlow and PyTorch. It now points to the newer Hugging Face Deep RL Course as its successor.

## Use cases
- learn deep reinforcement learning from scratch
- implement DQN in tensorflow or pytorch
- study PPO and A2C implementations
- train RL agents in environments like Space Invaders and VizDoom
- find a free deep RL course with hands-on notebooks

## When to choose
- you want runnable notebook implementations of classic deep RL algorithms
- you prefer learning RL theory alongside code in TensorFlow or PyTorch
- you want a free structured course with environments and challenges

## When to avoid
- you need a production-ready RL library rather than educational code
- you require a maintained project with an active license and releases
- you want the latest curriculum - the Hugging Face course is the updated successor

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, reinforcement-learning
- domain: reinforcement-learning, deep-learning, machine-learning, tutorials
- platform: python
- tags: deep-reinforcement-learning, jupyter-notebooks, tensorflow, pytorch, q-learning, ppo, a2c, actor-critic, dqn, free-course, hugging-face, gpu

## Member repositories
- simoninithomas/Deep_reinforcement_learning_Course (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:28.576953+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T18:25:11.783487+00:00, confidence not recorded.
  - readme: https://github.com/simoninithomas/Deep_reinforcement_learning_Course (fetched 2026-08-28T04:08:28.576953+00:00, sha bc989dffae91)
  - homepage: http://www.simoninithomas.com/deep-rl-course (fetched 2026-08-29T09:19:20.946772+00:00, sha 94edd2aa3a34)
- Data as of 2026-08-30T08:39:29.467469+00:00.