higgsfield/RL-Adventure
PyTorch notebooks implementing deep reinforcement learning algorithms from basic DQN to Rainbow.
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A comprehensive tutorial series walking through the evolution of Deep Q-Networks, starting from basic DQN and progressing through Double DQN, Dueling Networks, Prioritized Experience Replay, Noisy Networks, Distributional RL, and the Rainbow agent. Implemented in PyTorch with clean, readable code as educational resources for learning deep RL.
Frequently asked
- What is higgsfield/RL-Adventure?
- PyTorch notebooks implementing deep reinforcement learning algorithms from basic DQN to Rainbow.
- Is RL-Adventure open source?
- Yes — higgsfield/RL-Adventure is an open-source project tracked on heatdrop.
- What language is RL-Adventure written in?
- higgsfield/RL-Adventure is primarily written in Jupyter Notebook.
- How popular is RL-Adventure?
- higgsfield/RL-Adventure has 3.2k stars on GitHub.
- Where can I find RL-Adventure?
- higgsfield/RL-Adventure is on GitHub at https://github.com/higgsfield/RL-Adventure.