simoninithomas/Deep_reinforcement_learning_Course resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

3900 stars · 1216 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

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

learning-resource · maturity maintenance

machine-learning deep-learning reinforcement-learning reinforcement-learning deep-learning machine-learning tutorials python deep-reinforcement-learning jupyter-notebooks tensorflow pytorch q-learning ppo a2c actor-critic dqn free-course hugging-face gpu

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markdown · JSON · MCP: product_card(name="simoninithomas/Deep_reinforcement_learning_Course")