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Science
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Science
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Achievement: YOLO

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Mo-Ouail-Ocf/README.md

AI Researcher and Engineer interested in reinforcement learning and sequential decision making, currently working in robot learning and computational neuroscience.

I approach problems from first principles, combining research and engineering to understand complex systems and build effective solutions.

Think like a scientist. Perform like an athlete. Build like an engineer.

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  1. SIGMA.Q SIGMA.Q Public

    Simplicial Geometry for Multi-domain Adaptive Q-learning

    Python 2

  2. CuriousRL CuriousRL Public

    PyTorch codebase for benchmarking and comparing curiosity-driven Reinforcement Learning methods on hard-exploration

    Python 2

  3. Soft-IRA Soft-IRA Public

    Python

  4. SigCuriousRLWorld SigCuriousRLWorld Public

    Experiments on World models and intrinsic rewards

    Python 3

  5. Rainbow-Deep-Q-Net-From-Scratch Rainbow-Deep-Q-Net-From-Scratch Public

    - I share in this repository my implementation for rainbow DQN paper to solve atari games in high performance , with logging and monitoring

    Python

  6. Cycle-GAN-StyleTransfer Cycle-GAN-StyleTransfer Public

    This repository contains an implementation of a CycleGAN model from scratch in PyTorch.

    Python 1