A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
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Updated
Jul 4, 2024 - Python
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
📘 The MLOps stack component for experiment tracking
Machine learning library
PyTorch Implementation of MOPO
Official implementation for the paper "Model-based Diffusion for Trajectory Optimization". Model-based diffusion (MBD) is a novel diffusion-based trajectory optimization framework that employs a dynamics model to run the reverse denoising process to generate high-quality trajectories.
Airfoil Design project with Reinforcement Learning
算法 数学 科学。这是一个全网收藏夹; 一个备忘录; 一个To-Do List; 未来的技能点; 个人知识库; 也是一个算法工程师的网址导航.热爱生活, 不断探索.Have fun : )
A rust reinforcement learning library
A collection of useful environments for testing Reinforcement Learning algorithms. Designed (mostly) with discrete, graph-based methods in mind.
HARLA: Robust Traffic Signal Control Using Hybrid Augmented Reinforcement Learning and LLM Assistant
This is a repository for GraspXL, which can generate objective-drive grasping motions for 500k+ objects with different dexterous hands.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Nanjing Universtiy & Tsinghua University
Deep Reinforcement Learning Agent that learns to plays League of Legends
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
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