A collection of Jupyter notebooks implementing core reinforcement learning algorithms: Q-Learning, SARSA, and PPO.
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Updated
Jun 21, 2025 - Jupyter Notebook
A collection of Jupyter notebooks implementing core reinforcement learning algorithms: Q-Learning, SARSA, and PPO.
RL-Odyssey is a research framework for continuous control that implements state-of-the-art RL algorithms (SAC, TD3, PPO, etc.) with clean experiment scripts and interactive notebooks.
The LLM FineTuning and Evaluation project 🚀 enhances FLAN-T5 models for tasks like summarizing Spanish news articles 🇪🇸📰. It features detailed notebooks 📚 on fine-tuning and evaluating models to optimize performance for specific applications. 🔍✨
Super Mario Reinforcement Learning (RL) Training Colab notebook with Stable Baseline3 Library
This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.
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