ppama

ppama's Stars

• jaops-space/sandbox_ros

  Language:Rust2

• montrealrobotics/DeepRLInTheWorld

  From search engines, to science, to robotics, this reposity is meant to showcase the use of reinforcement learning in the world..

  22129

• nico-bohlinger/one_policy_to_run_them_all

  Language:Python12013

• ridgeback/ridgeback_manipulation

  Repository to store all necessary packages for common manipulator integrations

  Language:Shell175

• isaac-sim/IsaacLab

  Unified framework for robot learning built on NVIDIA Isaac Sim

  Language:Python2.5k1.1k

• google-deepmind/mujoco_menagerie

  A collection of high-quality models for the MuJoCo physics engine, curated by Google DeepMind.

  Language:Python1.6k231

• leggedrobotics/lunar_planner

  Language:Python23

• david-dorf/ExportURDF

  Scripts to convert CAD to URDF files.

  Language:Python1168

• jianzhnie/deep-marl-toolkit

  MARLToolkit: The Multi-Agent Rainforcement Learning Toolkit. Include implementation of MAPPO, MADDPG, QMIX, VDN, COMA, IPPO, QTRAN, MAT...

  Language:Python11315

• Improbable-AI/VisionProTeleop

  VisionOS App + Python Library to stream head / wrist / finger tracking data from Vision Pro to any robots.

  Language:Swift43530

• AntoineRichard/OmniLRS

  SpaceR and SRL Lunar simulation

  Language:Python6617

• dheena2k2/fusion2urdf-ros2

  A Fusion 360 Script to export URDF for ROS2

  Language:Python10137

• huangwl18/modular-rl

  [ICML 2020] PyTorch Code for "One Policy to Control Them All: Shared Modular Policies for Agent-Agnostic Control"

  Language:Jupyter Notebook22234

• Improbable-AI/walk-these-ways

  Sim-to-real RL training and deployment tools for the Unitree Go1 robot.

  Language:Python646159

• danijar/daydreamer

  DayDreamer: World Models for Physical Robot Learning

  Language:Jupyter Notebook28431

• Replicable-MARL/MARLlib

  One repository is all that is necessary for Multi-agent Reinforcement Learning (MARL)

  Language:Python971159

• MarkFzp/Deep-Whole-Body-Control

  [CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion

  Language:Python16923

• leggedrobotics/ros_best_practices

  Best practices, conventions, and tricks for ROS

  Language:C++1.5k414

• gaiyi7788/awesome-legged-locomotion-learning

  A curated list of resources relevant to legged locomotion learning of robotics.

  35439

• poppy-project/pypot

  Python library for controlling dynamixel motors. Documentation available here:

  Language:Python255137

• rlawlsdn1130/Note

  6

• fchollet/deep-learning-with-python-notebooks

  Jupyter notebooks for the code samples of the book "Deep Learning with Python"

  Language:Jupyter Notebook18.9k8.7k

• marl-book/codebase

  Official code repo for the MARL book (www.marl-book.com)

  Language:Python41564

• robotlearning123/awesome-isaac-gym

  A curated list of awesome NVIDIA Issac Gym frameworks, papers, software, and resources

  78263

• PKU-MARL/Multi-Agent-Transformer

  Language:Python35773

• biorobotics/learning_modular_policies

  Code used in the publication "Learning modular robot control policies."

  Language:Jupyter Notebook2

• jorditorresBCN/Deep-Reinforcement-Learning-Explained

  Language:Jupyter Notebook9442

• ikostrikov/pytorch-a2c-ppo-acktr-gail

  PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

  Language:Python3.7k830

• LantaoYu/MARL-Papers

  Paper list of multi-agent reinforcement learning (MARL)

  4.1k735

• panagelak/ros_control_driver_template

  This is a generic robot driver for Ros Control aimed to server as an example and a template for your robot's.

  Language:C++112