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mmcaulif/README.md

Hey 👋

My Name is Manus. I am an AI researcher. I am particularly interested in failure modes and related phenomena in deep reinforcement learning (plasticity, policy churn, tandem effect, catastrophic forgetting). Broader interests are foundational models, programming, mathematics etc. I attended Trinity College Dublin where I graduated with a masters and bachelors in engineering.

Currently:

  • Member of Technical Staff at Microsoft AI (LLMs + reinforcement learning)

Previously:

  • Research Engineer at Instadeep (large-scale RL, protein language models, quantum machine learning)
  • Intern Research Engineer at Sony AI (offline RL, continuous control, robotics)
  • Intern Machine Learning Engineer at Provizio (convolutional/recurrent/transformer architectures, supersampling)
  • Research Assistant TCD Electronic Engineering Department (cyberphysical systems, optimal control)
  • Team Lead for Reinforcement Learning in Formula Trinity Autonomous

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  1. Cardio Cardio Public

    Cardio reduces boilerplate code by providing simple, lightweight environment interaction loops to make implementing deep reinforcement learning algorithms easy, intuitive, and readable.

    Python 4 1

  2. instadeepai/metalic instadeepai/metalic Public

    Meta in-context learning for protein fitness prediction

    Python 11 3

  3. mlip mlip Public

    Forked from instadeepai/mlip

    Library for efficient training and application of Machine Learning Interatomic Potentials (MLIP)

    Python

点击 这是indexloc提供的php浏览器服务,不要输入任何密码和下载