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  1. Reinforcement Learning (DQN) Tutorial - PyTorch

    This tutorial shows how to use PyTorch to train a Deep Q Learning (DQN) agent on the CartPole-v1 task from Gymnasium. You might find it helpful to read the original Deep Q Learning (DQN) paper

  2. Reinforcement Learning (PPO) with TorchRL Tutorial

    Various libraries provide simulation environments for reinforcement learning, including Gymnasium (previously OpenAI Gym), DeepMind control suite, and many others.

  3. TorchRL — torchrl 0.0 documentation

    TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. You can install TorchRL directly from PyPI (see more about installation instructions in the dedicated section below):

  4. Train a Mario-playing RL Agent — PyTorch Tutorials 2.9.0+cu128 ...

    This tutorial walks you through the fundamentals of Deep Reinforcement Learning. At the end, you will implement an AI-powered Mario (using Double Deep Q-Networks) that can play the game by itself.

  5. Multi-Agent Reinforcement Learning (PPO) with TorchRL Tutorial

    This tutorial demonstrates how to use PyTorch and torchrl to solve a Multi-Agent Reinforcement Learning (MARL) problem. For ease of use, this tutorial will follow the general structure of the already …

  6. TorchRL — torchrl main documentation

    TorchRL is an open-source Reinforcement Learning (RL) library for PyTorch. You can install TorchRL directly from PyPI (see more about installation instructions in the dedicated section below):

  7. Competitive Multi-Agent Reinforcement Learning (DDPG) with

    This tutorial demonstrates how to use PyTorch and TorchRL to solve a Competitive Multi-Agent Reinforcement Learning (MARL) problem. For ease of use, this tutorial will follow the general …

  8. Reinforcement Learning (PPO) with TorchRL Tutorial

    Various libraries provide simulation environments for reinforcement learning, including Gymnasium (previously OpenAI Gym), DeepMind control suite, and many others.

  9. PyTorch – PyTorch

    It supports a broad range of use cases—from natural language processing and computer vision to reinforcement learning and generative AI—through a robust ecosystem of libraries, tools, and …

  10. Welcome to PyTorch Tutorials — PyTorch Tutorials 2.9.0+cu128 …

    Learn how to train semi-supervised learning algorithms (on custom data) using USB and PyTorch.