MuZero

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

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"

Pytorch Implementation of MuZero

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

Bayesian Reinforcement Learning in Tensorflow

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

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

World Model based Autonomous Driving Platform in CARLA 🚗

My reading list for model-based control

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

Re-implementations of SOTA RL algorithms.

Model-based Reinforcement Learning Framework

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

Code for "Planning Goals for Exploration", ICLR2023 Spotlight. An unsupervised RL agent for hard exploration tasks.

Recall to Imagine, a model-based RL algorithm with superhuman memory. Oral (1.2%) @ ICLR 2024

Reinforcement learning algorithms in RLlib