-
MIT
- Cambridge, MA
- @AntoineComite
Stars
An open-source library for GPU-accelerated robot learning and sim-to-real transfer.
A hierarchical model for fly walking
Simulating embodied sensorimotor control with NeuroMechFly v2
MuJoCo fruit fly body model and locomotion RL tasks
Supporting code for Pratt et al., 2024
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
Contrib package for Stable-Baselines3 - Experimental reinforcement learning (RL) code
This is a library that provides dual dexterous hand manipulation tasks through Isaac Gym
Minimal implementation of clipped objective Proximal Policy Optimization (PPO) in PyTorch
MyoSuite is a collection of environments/tasks to be solved by musculoskeletal models simulated with the MuJoCo physics engine and wrapped in the OpenAI gym API.
Code for simulations of our paper (in revision): "An approximate stochastic optimal control framework to simulate nonlinear neuro-musculoskeletal models in the presence of noise"
Camera calibration & 3D pose estimation tools for AcinoSet
Multi-Joint dynamics with Contact. A general purpose physics simulator.
a mujoco env framework for learning human motor models through deep rl
DM-ACME compatible implementation of the Arm26 environment from Mujoco
A package to train neural networks to perform various motor tasks
A curated collection of neuroscience tasks with a common interface.
A toolkit for developing and comparing reinforcement learning algorithms.