Unified framework for robot learning built on NVIDIA Isaac Sim

[NeurIPS 2023] "Natural Actor-Critic for Robust Reinforcement Learning with Function Approximation"

Implementation of Robust Adversarial Reinforcement Learning

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

Isaac Gym Environments for Legged Robots

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

Graphormer is a general-purpose deep learning backbone for molecular modeling.

Density function based non-uniform coverage control

Papers about graph transformers.

[Preprint]Towards Environmentally Equitable AI via Geographical Load Balancing

PowerGridworld provides users with a lightweight, modular, and customizable framework for creating power-systems-focused, multi-agent Gym environments that readily integrate with existing training …

Code for training locomotion policies with RL

StarCraft II Learning Environment

Hello, I pushed some python environments for Multi Agent Reinforcement Learning.

A collection of various deep learning architectures, models, and tips

In-Hand Object Rotation via Rapid Motor Adaptation (CoRL 2022), and more

Soft Threshold Weight Reparameterization for Learnable Sparsity

A curated list of neural network pruning resources.

This is a private learning repository for reinforcement learning techniques used in robotics.

Isaac Gym Reinforcement Learning Environments

Reinforcement Learning Environments for Omniverse Isaac Gym

Training Deep Neural Networks for Wireless Resource Management

Natural Language Processing Tutorial for Deep Learning Researchers

Code for the paper "Equal Improvability: A New Fairness Notion Considering the Long-term Impact". Poster at ICLR 2023

AI4Science: Efficient data-driven Online Model Learning (OML) / system identification and control

Implementation of robust adaptive control methods for the linear quadratic regulator