Neural-SLAM
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Explore environments using an AI model that learns from its surroundings.
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Free · no card · unsubscribe anytimePytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Neural-SLAM has 852 stars on GitHub. It has been forked 154 times. Neural-SLAM is written mainly in Python. It has been in active development since 2020. Neural-SLAM is available under the MIT license. Its main topics are active-neural-slam, deep-learning, deep-reinforcement-learning, deep-rl.
What is Neural-SLAM?
Pytorch code for ICLR-20 Paper "Learning to Explore using Active Neural SLAM"
Is Neural-SLAM open source?
Neural-SLAM is an open-source project. It is released under the MIT license.
Is Neural-SLAM free?
Yes. Neural-SLAM is free and open source — you can use, modify and self-host it.
What license does Neural-SLAM use?
Neural-SLAM is available under the MIT license.
What language is Neural-SLAM written in?
Neural-SLAM is written mainly in Python.
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