Home Projects world-models
world-models
Python

world-models

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

by ctallec · GitHub
Stars
Forks
License
Created
Last commit
Language
model-based-rlpytorchreinforcement-learningMITPython
View on GitHub
In plain words

Run experiments with a model that learns to predict future images based on past ones using Python and PyTorch.

You maintain this project?

Claim its page: indexed whatever its rank, translated into six languages, and enriched with what you write yourself.

Claim this page →
world-models — GitHub preview card
📈 Star history
707706
2026-07-202026-08-31
📈 Track world-models

Get an email alert on its next release or when it starts trending — never miss the moment.

Free · no card · unsubscribe anytime
Get email alerts →
📄 About

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

world-models has 706 stars on GitHub. It has been forked 151 times. world-models is written mainly in Python. It has been in active development since 2018. world-models is available under the MIT license. Its main topics are model-based-rl, pytorch, reinforcement-learning.

Frequently asked questions

What is world-models?

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

Is world-models open source?

world-models is an open-source project. It is released under the MIT license.

Is world-models free?

Yes. world-models is free and open source — you can use, modify and self-host it.

What license does world-models use?

world-models is available under the MIT license.

What language is world-models written in?

world-models is written mainly in Python.

🏅 Maintainer of this project?
olud.ai badge — world-models

Add this live badge to your README — your GitHub stars and directory rank, refreshed daily.

[![olud.ai](https://olud.ai/badge.php?tool=ctallec-world-models)](https://olud.ai/project/ctallec-world-models.html)
More badge options →
🧬 Shares DNA with🧬 View the DNA map →
handful-of-trials
Experiment code for "Deep Reinforcement Learning in a Handful of Trials using Probabilistic Dyn…
475 · model-based-rl
sharesmodel-based-rlreinforcement-learning
GOPS
General Optimal control Problem Solver (GOPS), an easy-to-use PyTorch reinforcement learning so…
304 · pytorch
sharesreinforcement-learningpytorch
PILCO
Bayesian Reinforcement Learning in Tensorflow
336 · gaussian-processes
sharesmodel-based-rlreinforcement-learning
rl_games
RL implementations
1.4k · deep-learning
sharesreinforcement-learningpytorch
torch-light
Deep-learning by using Pytorch. Basic nns like Logistic, CNN, RNN, LSTM and some examples are…
538 · deep-learning
sharesreinforcement-learningpytorch
trlx
A repo for distributed training of language models with Reinforcement Learning via Human Feedba…
4.8k · machine-learning
sharesreinforcement-learningpytorch
self-driving-truck
Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
411 · autonomous
sharesreinforcement-learningpytorch
Deep-Whole-Body-Control
[CoRL 2022] Deep Whole-Body Control: Learning a Unified Policy for Manipulation and Locomotion
393 · deep-learning
sharesreinforcement-learningpytorch
PPO-for-Beginners
A simple and well styled PPO implementation. Based on my Medium series: https://medium.com/@eyy…
1.3k · machine-learning
sharesreinforcement-learningpytorch
pytorch-blender
:sweat_drops: Seamless, distributed, real-time integration of Blender into PyTorch data pipelin…
582 · blender
sharesreinforcement-learningpytorch

Measured from GitHub topics shared by both projects, weighted by how rare each topic is.