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adaptive-caregiver.github.io

ars

An implementation of the Augmented Random Search algorithm

assistive-gym

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

assistive-gym-fem-1

Assistive Gym, a physics-based simulation framework for physical human-robot interaction and robotic assistance.

assistive-vr-gym

Assistive VR Gym (AVR Gym), enabling real people to interact with virtual assistive robots through physics simulation.

attentiontracking

bullet

bullet3_vr

Bullet Physics SDK: real-time collision detection and multi-physics simulation for VR, games, visual effects, robotics, machine learning etc.

deep-neuroevolution

Deep Neuroevolution

dm_control

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

doodad

A job launching library for docker, EC2, GCP, etc.

driving-interactions

glove-python

Toy Python implementation of http://www-nlp.stanford.edu/projects/glove/

gpmp2

Gaussian Process Motion Planner 2

gym

A toolkit for developing and comparing reinforcement learning algorithms.

habitat-sim

A flexible, high-performance 3D simulator for Embodied AI research.

iact_moplan

Motion planning and control functionality for the InterACT Lab.

infogail

Source code for our NIPS 2017 paper, InfoGAIL: Interpretable Imitation Learning from Visual Demonstrations

jaco_learning

Control, planning, and learning system for human-robot interaction with a JACO2 7DOF robotic arm.

kaushik_2020_famle

Fast Online Adaptation in Robotics through Meta-Learning Embeddings of Simulated Priors

klampt

Kris' Locomotion and Manipulation Planning Toolkit

ma-gibsonenv

Gibson Environments for Embodied Real-World Active Perception

ma-gym

A collection of multi agent environments based on OpenAI gym.

ma-meta-env

Collections of Multi-Agent Environments for Meta-Learning

mac-setup

:rocket: Automatically install, configure, and run the most popular programs of several stacks to work offline on a Mac and in clouds.

maml_rl

Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

metaworld

An open source robotics benchmark for meta- and multi-task reinforcement learning

models

Models and examples built with TensorFlow

mujoco-py

MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

multiagent-particle-envs

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"