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KAIST
- Korea
- in/mingyu-lee-871450243
Stars
This is the official implementation of Multi-Agent PPO (MAPPO).
Official implementation of "ASAP: Aligning Simulation and Real-World Physics for Learning Agile Humanoid Whole-Body Skills"
A game theoretic approach to explain the output of any machine learning model.
hill-a / stable-baselines
Forked from openai/baselinesA fork of OpenAI Baselines, implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
A generative world for general-purpose robotics & embodied AI learning.
Real-time behaviour synthesis with MuJoCo, using Predictive Control
An easy to use PyTorch to TensorRT converter
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Official implementation of HARL algorithms based on PyTorch.
A benchmark environment for fully cooperative human-AI performance.
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
A latent text-to-image diffusion model
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
A massively parallel, high-level programming language
Unified framework for robot learning built on NVIDIA Isaac Sim
A multi-agent quadruped environment, supporting learning of locomotion control or merely high-level planning.