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mmcaulif/README.md

Hi there 👋

My Name is Manus. I am a budding researcher with a varied range of interests and skills. At the moment, I am particularly interested in plasticity in deep reinforcement learning (RL), but also (possibly) related phenomena like tandem effect, primacy bias, policy churn, catastrophic forgetting. Broader interests are reinforcement learning, computer vision, mathematics, programming to name a few. I attended Trinity College Dublin where I graduated with a masters and bachelors in engineering.

Currently:

  • Research Engineer at Instadeep (applied reinforcement learning)

Previously:

  • Intern 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 5 1

  2. Sprinter Sprinter Public

    A collection of deep reinforcement learning algorithms and research focused infrastructure built using Jax/Flax and Cardio

    Python