3D propeller Design project with Reinforcement Learning
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Updated
May 24, 2024 - Python
3D propeller Design project with Reinforcement Learning
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
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.
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
A Gymnasium environment and RL algorithms for navigation on human arms using ultrasound/MRI
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 modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
Stateful implementations of OPE algorithms, designed for use in the development of offline RL models
An elegant PyTorch deep reinforcement learning library.
A collection of RL gym environments built with PyBullet. In these environments, the agent needs to learn to grasp deformable object such as shoe insoles or pillows.
The Drone Swarm Search project provides an environment for SAR missions built on PettingZoo, where agents, represented by drones, are tasked with locating targets identified as shipwrecked individuals.
Gym environments for logistics tasks that can be described as "Move something from A to B"
Multi-agent RL environment for a pikachu-volleyball game based on Pettingzoo.
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