google-deepmind / google-deepmind/dm_control

Open for collab - to rewrite dm_control codebase in c++

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I enjoy this library and have used it in research , I'm currently writing my graduate paper, where i'll be showing my benchmark for the rgb stacking problem. Looking through the codebase, I see lots of optimization capability if a high performance language like c++ was used instead, it can directly interface with mujoco since that' in C. I am looking to collaborate with other c++ developers to create a c++ version and maybe write a python wrapper over that instead. I get really low FP during training, and not so feasible to train on a few cores. I have a private repo where i implemented PPO, A2C and impala with full multi-threading, MPI and template support, and the lib-torch api. I am open to share that with any developer who is willing to collaborate too.

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