A collection of Jupyter notebooks implementing core reinforcement learning algorithms: Q-Learning, SARSA, and PPO.
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Jun 21, 2025 - Jupyter Notebook
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ppo
Here are 7 public repositories matching this topic...
🏟️ Modern RL algorithms from scratch — from Q-Learning to GRPO — with clean PyTorch code and interactive notebooks. Compare PPO vs DPO vs GRPO for LLM alignment.
machine-learning reinforcement-learning jupyter-notebook deep-reinforcement-learning pytorch ppo dpo rlhf grpo llm-alignment
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Mar 30, 2026 - Python
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.
reinforcement-learning deep-learning deep-reinforcement-learning pytorch policy-gradient a3c ddpg sac gymnasium continuous-control actor-critic trpo mujoco trust-region-policy-optimization proximal-policy-optimization ppo alphazero td3 dm-control soft-actor-critic
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Mar 25, 2025 - Jupyter Notebook
20 RL basics notebooks + 10 advanced projects with Streamlit apps covering RLHF, Offline RL, Multi-Agent RL, Safe RL, World Models, RLAIF, Hierarchical RL, Meta-RL, Drug Discovery RL, and Sim-to-Real transfer
python machine-learning tutorial reinforcement-learning deep-learning numpy jupyter-notebook q-learning dqn drug-discovery from-scratch meta-learning ppo streamlit multi-agent-rl safe-rl rlhf
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Mar 25, 2026 - Jupyter Notebook
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. 🔍✨
python nlp machine-learning natural-language-processing text-generation pytorch fine-tuning ppo transformer-models ethical-ai llm parameter-efficient-tuning prompt-engineering rlhf flan-t5 qlora tinyllama
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Oct 6, 2025 - Jupyter Notebook
Super Mario Reinforcement Learning (RL) Training Colab notebook with Stable Baseline3 Library
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Aug 6, 2023 - Jupyter Notebook
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.
deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm
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Apr 24, 2021 - Jupyter Notebook
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