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jdmartin86/README.md

Hello World πŸ‘‹

I'm a Fellow of the Openmind Research Institute and an Adjunct Professor of Computing Science at the University of Alberta. My research aims to understand the computational principles behind both natural and artificial minds.

  • πŸ’ Previously worked on theory of the Reward Hypothesis.
  • ☝️ Currently working on a theory of memory beyond the agent boundary.
  • ✌️ Also pursuing a theoretical understanding of agency relative to classic models of computation.
  • πŸ’‘ Excited to develop a science of artificial minds.
  • πŸ”οΈ I co-founded Seattle Minds and Machines: a local seminar series for AI researchers and computational neuroscientists.
  • 🚁 In a previous life I designed helicopters: X76.
  • πŸ”— Learn more about my research at jdmartin86.github.io.

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  1. reward-hypothesis reward-hypothesis Public

    Code for the reward / discount design algorithm in Settling the Reward Hypothesis

    Python

  2. frogseye frogseye Public

    Adapting the Function Approximation Architecture in Online Reinforcement Learning

    Python 1

  3. pddlyte pddlyte Public

    PDDLyte --- A Partial Implementation of The Planning Domain Definition Language

    TeX 1

  4. dqn-flax dqn-flax Public

    Implementation of the Deep Q-Network (DQN) using JAX and FLAX.

    Python 4

  5. torch-boiler torch-boiler Public

    Boilerplate code for Pytorch experiments.

    Python