q-transformer
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Run advanced reinforcement learning experiments using Q-Transformer to improve decision-making in robotics.
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Free · no card · unsubscribe anytimeImplementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
q-transformer has 407 stars on GitHub. It has been forked 22 times. q-transformer is written mainly in Python. It has been in active development since 2023. q-transformer is available under the MIT license. Its main topics are artificial-intelligence, attention-mechanisms, deep-learning, offline-learning.
What is q-transformer?
Implementation of Q-Transformer, Scalable Offline Reinforcement Learning via Autoregressive Q-Functions, out of Google Deepmind
Is q-transformer open source?
q-transformer is an open-source project. It is released under the MIT license.
Is q-transformer free?
Yes. q-transformer is free and open source — you can use, modify and self-host it.
What license does q-transformer use?
q-transformer is available under the MIT license.
What language is q-transformer written in?
q-transformer is written mainly in Python.
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