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for integrating Deep Learning and Robotics

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- Building block for intelligence - Briefly to information theory - Universal Approximation Theorem - manifold hypothesis[Mitter, 2016] (eg. random embedding), etc. - inductive bias, No-Free-Lunch - Brain intelligence -...

![image](https://user-images.githubusercontent.com/1320252/126459115-df7fb60c-f8c7-4e99-8eca-857fe23d8696.png) Meta-World is an open-source simulated benchmark for meta-reinforcement learning and multi-task learning consisting of 50 distinct robotic manipulation tasks. - https://github.com/rlworkgroup/metaworld - https://arxiv.org/pdf/1910.10897.pdf ## The actions in this space...

https://github.com/A-Noctua/DQN-Sandbox Deep Q Learning application in robotics http://rll.berkeley.edu/deeplearningrobotics/index.html