Shypd.aiThe largest open index of AI toolstmrl is an open-source distributed reinforcement learning framework for robotics, designed to train Deep Reinforcement Learning AIs in real-time applications. It includes an example self-driving pipeline for the TrackMania 2020 video game.
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tmrl is a comprehensive open-source Python framework for training Deep Reinforcement Learning (RL) AIs in real-time applications, such as robotics, video games, and high-frequency control. It features a distributed architecture, enabling secure remote training and fine-grained customizability. The framework comes with a readily implemented example pipeline for the TrackMania 2020 racing video game, allowing users to train policies with state-of-the-art algorithms like Soft Actor-Critic (SAC) and Randomized Ensembled Double Q-Learning (REDQ). tmrl also provides a Gymnasium environment for TrackMania, making it easy to integrate into existing training frameworks. It supports both vision-based (CNN for raw images) and simpler rangefinder (MLP for LIDAR) observations, and offers analog control via a virtual gamepad.
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