Stars
PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.
Official implementation of the paper "Learning Coverage Paths in Unknown Environments with Deep Reinforcement Learning"
本仓库提供了一个基于PyTorch实现的Transformer模型示例代码，专为初学者设计，用以深入浅出地讲解Transformer架构的工作原理和应用。通过阅读和运行此项目中的代码，学习者可以快速理解自注意力机制、编码器-解码器结构以及如何在实际任务中使用Transformer。同时，项目包含了详细的文档说明和注释，便于跟随每一步进行实践。
[RSS 2023] Diffusion Policy Visuomotor Policy Learning via Action Diffusion
Concise pytorch implements of DRL algorithms, including REINFORCE, A2C, DQN, PPO(discrete and continuous), DDPG, TD3, SAC.
[CoRL'23] Parting with Misconceptions about Learning-based Vehicle Motion Planning
Python sample codes for robotics algorithms.
DMControl Generalization Benchmark
This is the repo of "RL-ViGen: A Reinforcement Learning Benchmark for Visual Generalization"
ROS Wrapper for Intel(R) RealSense(TM) Cameras
OpenAI Gym wrapper for the DeepMind Control Suite
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.
Benchmarking Repository for robosuite + SAC
coder0818 / -C-
Forked from ZachL1/Bilibili-plus侯捷C++系列课程视频、PPT和源代码
Isaac Gym Reinforcement Learning Environments
A Variational Autoencoder (VAE) implemented in PyTorch
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKT…
A high-performance Atari A3C agent in 180 lines of PyTorch
Mujoco Control Suite for Bimanual Manipulation
A Python library for reading data from ATI Force/Torque sensors with a Net F/T interface box.
Motion Planner Augmented Reinforcement Learning for Robot Manipulation in Obstructed Environments (CoRL 2020)
High-quality single-file implementations of SOTA Offline and Offline-to-Online RL algorithms: AWAC, BC, CQL, DT, EDAC, IQL, SAC-N, TD3+BC, LB-SAC, SPOT, Cal-QL, ReBRAC