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

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

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

Pytorch Implementation of MuZero

Bayesian Reinforcement Learning in Tensorflow

World Model based Autonomous Driving Platform in CARLA :car:

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.

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

Reinforcement Learning Short Course

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

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

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

No description provided.

Reinforcement learning algorithms in RLlib

Sampling based Model Predictive Control package for Model-Based RL research

The Reinforcement-Learning-Related Papers of ICLR 2019

JAX code for the paper "Control-Oriented Model-Based Reinforcement Learning with Implicit Differentiation"

A number of agents (PPO, MuZero) with a Perceiver-based NN architecture that can be trained to achieve goals in nethack/minihack environments.

A pytorch implementation of A Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation.

Model-based Offline Policy Optimization re-implement all by pytorch

A PyTorch implementation of DeepMind's MuZero agent

Code for paper "Model-based Adversarial Meta-Reinforcement Learning" (https://arxiv.org/abs/2006.08875)

Toolkit of Causal Model-based Reinforcement Learning.