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Tejas Kulkarni mrkulk

Neural networks, inverse graphics, reinforcement learning, 3D

  • Common Sense Machines (https://www.csm.ai/)
  • Cambridge, USA

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  1. Capsule network with variations. Originally proposed by Tieleman & Hinton : http://www.cs.toronto.edu/~tijmen/tijmen_thesis.pdf

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  2. Hierarchical Deep Reinforcement Learning: Integrating Temporal Abstractions and Intrinsic Motivation

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  3. Unfinished. Deep Q Learning in Tensorflow for ATARI.

    Python 84 22

  4. A probabilistic programming language for visual scene perception

    Jupyter Notebook 26 8

  6. Interface between Julia and Torch (Lua) using ZMQ

    Lua 22 1

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