GlennCeusters

optuna

A hyperparameter optimization framework

stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

tianshou

An elegant PyTorch deep reinforcement learning library.

sktime

A unified framework for machine learning with time series

TensorLayer

Deep Learning and Reinforcement Learning Library for Scientists and Engineers

botorch

Bayesian optimization in PyTorch

muzero-general

MuZero

GPy

Gaussian processes framework in python

imitation

Clean PyTorch implementations of imitation and reward learning algorithms

pfrl

PFRL: a PyTorch-based deep reinforcement learning library

do-mpc

Model predictive control python toolbox

PyDMD

Python Dynamic Mode Decomposition

simple-pid

A simple and easy to use PID controller in Python

filelock

A platform-independent file lock for Python.

smt

Surrogate Modeling Toolbox

GEKKO

GEKKO Python for Machine Learning and Dynamic Optimization

safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

pymdptoolbox

Markov Decision Process (MDP) Toolbox for Python

sklearn-onnx

Convert scikit-learn models and pipelines to ONNX

OMLT

Represent trained machine learning models as Pyomo optimization formulations

trieste

A Bayesian optimization toolbox built on TensorFlow

pySOT

Surrogate Optimization Toolbox for Python

SafeOpt

Safe Bayesian Optimization

Constrained-Decision-Making-Paper-List

Paper list for constrained policy optimization in reinforcement learning.

safe_near_optimal_mdp

Safe Reinforcement Learning in Constrained Markov Decision Processes

safe-rl-shielding

project1-boptest-gym

AlwaysSafe

Code for the paper "AlwaysSafe: Reinforcement Learning Without Safety Constraint Violations During Training"

Guarantee_Learning_Control

Guarantee_Learning_Control

Contextual-GoSafe