P-Schumacher
Working on Reinforcement Learning for muscle-driven systems.
MPI-IS Tübingen / HIH TübingenTübingen
Pinned Repositories
AL4MyoChallenge
Code for the submission of the team AL4Muscles to the MyoChallenge 2022
depRL
Repository for our ICLR 2023 paper: DEP-RL: Embodied Exploration for Reinforcement Learning in Overactuated and Musculoskeletal Systems
learningwithmuscles
Repo for the paper: Learning with Muscles: Benefits for Data-Efficiency and Robustness in Anthropomorphic Tasks. https://al.is.mpg.de/publications/wochneretal22
myochallenge_2023eval
MyoChallenge 23 -- Towards Human-Level Dexterity and Agility
ant_repo
This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.
dep_arm26_demo
env_utils
Multiagent-Pong
This repo implements a DQN RL agent on the roboschool Pong environment using PyTorch.
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.
warmup
Gym environments for musculoskeletal reaching tasks.
P-Schumacher's Repositories
P-Schumacher/warmup
Gym environments for musculoskeletal reaching tasks.
P-Schumacher/Multiagent-Pong
This repo implements a DQN RL agent on the roboschool Pong environment using PyTorch.
P-Schumacher/ant_repo
This repo implements the HIRO algorithm for Hierarchical Reinforcement Learning in the original environment using Tensorflow 2.
P-Schumacher/dep_arm26_demo
P-Schumacher/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.
P-Schumacher/env_utils
P-Schumacher/gym
A toolkit for developing and comparing reinforcement learning algorithms.
P-Schumacher/llama
Inference code for LLaMA models
P-Schumacher/lpzrobots
Robot simulator with realistic 3D physics
P-Schumacher/mujoco-py
MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.
P-Schumacher/research
Doing research
P-Schumacher/tonic
Tonic RL library
P-Schumacher/trifinger_example
Starter code for TriFinger workshop.
P-Schumacher/VoytekLab
The who, what, and where of Voytek Lab code.
P-Schumacher/mujoco
Multi-Joint dynamics with Contact. A general purpose physics simulator.
P-Schumacher/myo_sim
Musculoskeletal Models in MuJoCo
P-Schumacher/ostrichrl
P-Schumacher/P-Schumacher.github.io
P-Schumacher/train_utils