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rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.robotics-rl-srl
S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Roboticsrl-tutorial-jnrr19
Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019sbx
SBX: Stable Baselines Jax (SB3 + Jax)srl-zoo
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolboxarduino-robust-serial
A simple and robust serial communication protocol. It was designed for Arduino but can be used for other purposes (e.g. bluetooth, sockets). Implementation in C Arduino, C++, Python and Rust.tools-for-robotic-rl-icra2022
Tutorial: Tools for Robotic Reinforcement Learning, Hands-on RL for Robotics with EAGER and Stable-Baselines3rl-handson-rlvs21
Stable-Baselines3 (SB3) reinforcement learning tutorial for the Reinforcement Learning Virtual School 2021.rlss23-dqn-tutorial
Deep Q-Network (DQN) and Fitted Q-Iteration (FQI) tutorial for RL Summer School 2023aae-train-donkeycar
Code used to train an augmented auto-encoder (aka denoising auto-encoder with more augmentations) for the DonkeyCar simulator.rust-arduino-serial
A simple and robust serial communication protocol. It was designed for Arduino but can be used for other purposes (e.g. bluetooth, sockets). This is the Rust implementation.python-arduino-serial
A simple and robust serial communication protocol. It was designed for Arduino but can be used for other purposes (e.g. bluetooth, sockets). This is the Python implementation.datasaurust
Blazingly fast implementation of the Datasaurus paper. Same Stats, Different Graphs.cpp-arduino-serial
A simple and robust serial communication protocol. It was designed for Arduino but can be used for other purposes (e.g. bluetooth, sockets). This is the C++ implementation.pybullet_envs_gymnasium
Port of pybullet envs to gymnasiumgraph-annotation-tool
A graph annotation tool using a flask server and javascriptes-with-search-path
Implementation of the (μ/μ,λ)-Evolution Strategy (ES) with Search Path algorithm in C++araffin.github.io
Personal Homepageeagerx_quadruped
custom-hugo-academic
her-experiments
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