Stars
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
High throughput synchronous and asynchronous reinforcement learning
Python library for Reinforcement Learning.
Methods to get the probability of a changepoint in a time series.
Author's PyTorch implementation of BCQ for continuous and discrete actions
Model Predictive Path Integral (MPPI) with approximate dynamics implemented in pytorch
A collection of multi agent environments based on OpenAI gym.
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
Dream to Control: Learning Behaviors by Latent Imagination
Official reinforcement learning environment for demand response and load shaping
Simulate Functional Mock-up Units (FMUs) in Python
A bare-bones repository demonstrating how to set up tools for data science projects that will help you write higher quality code.
Robustness Gym is an evaluation toolkit for machine learning.
Accompanying repository for Let's make a DQN / A3C series.
Reinforcement learning tutorials
Real-World RL Benchmark Suite
Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermodynamic modeling of thermal engineering plants such as power plants, heat pumps or refri…
Rocket-recycling with Reinforcement Learning
Bayesian Additive Regression Trees For Python
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
Board game AI implementations using Monte Carlo Tree Search
Reinforcement learning for energy systems
Temporal Fusion Transformers for Tensorflow 2.x
PID-controller/brewing kettle simulation