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gymnasium

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Clean and reproducible implementation of DQN and its extensions (DDQN, Dueling, PER, N-step) for solving CartPole-v1. Includes a modular training pipeline, evaluation script, TensorBoard logging, and experiment notebook.

  • Updated Nov 13, 2025
  • Jupyter Notebook

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.

  • Updated Mar 25, 2025
  • Jupyter Notebook

A simple Deep Q-Learning project that trains an agent to land a spacecraft safely in the LunarLander environment using PyTorch and Gymnasium. The notebook shows how a DQN works step-by-step with replay memory, epsilon-greedy exploration, and soft target updates.

  • Updated Nov 13, 2025
  • Jupyter Notebook

This repository hosts Jupyter notebooks showcasing the training of Atari games using a variety of Deep Reinforcement Learning (RL) algorithms such as Proximal Policy Optimization (PPO), Deep Deterministic Policy Gradient (DDPG), Deep Q-Networks (DQN), Advantage Actor-Critic (A2C), and more.

  • Updated Jun 10, 2024
  • Jupyter Notebook

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