MuZero

PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.

Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch

Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

Bayesian Reinforcement Learning in Tensorflow

Pytorch Implementation of MuZero

A curated list of awesome model based RL resources (continually updated)

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Unofficial Pytorch code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dynamics Models"

World Model based Autonomous Driving Platform in CARLA 🚗

My reading list for model-based control

Related papers for reinforcement learning, including classic papers and latest papers in top conferences

Reinforcement Learning Short Course

Code for reproducing experiments in Model-Based Active Exploration, ICML 2019

Re-implementations of SOTA RL algorithms.

The Reinforcement-Learning-Related Papers of ICLR 2019

World Models with A3C on Carracing-v0 in gym

Solutions of assignments of Deep Reinforcement Learning course presented by the University of California, Berkeley (CS285) in Pytorch framework

Reinforcement learning algorithms in RLlib