p-schumacher Goto Github PK

ant_repo

This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.

dep_arm26_demo

env_utils

gym

A toolkit for developing and comparing reinforcement learning algorithms.

llama

Inference code for LLaMA models

lpzrobots

Robot simulator with realistic 3D physics

mujoco

Multi-Joint dynamics with Contact. A general purpose physics simulator.

mujoco-py

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

multiagent-pong

This repo implements a DQN RL agent on the roboschool Pong environment using PyTorch.

myo_sim

Musculoskeletal Models in MuJoCo

myosuite

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.

ostrichrl

p-schumacher.github.io

research

Doing research

tonic

Tonic RL library

train_utils

trifinger_example

Starter code for TriFinger workshop.

voyteklab

The who, what, and where of Voytek Lab code.

warmup

Gym environments for musculoskeletal reaching tasks.