Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
Run experiments with a model that learns to predict future images based on past ones using Python and PyTorch.
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Free · no card · unsubscribe anytimeReimplementation 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.
Reimplementation of World-Models (Ha and Schmidhuber 2018) in pytorch
world-models is an open-source project. It is released under the MIT license.
Yes. world-models is free and open source — you can use, modify and self-host it.
world-models is available under the MIT license.
world-models is written mainly in Python.
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