Matthew Schlegel

Matthew Schlegel

Lover of Espresso; Focused on RL and ML to improve the world; Research Scientist with a penchant for good software and alliteration.

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Home About CV Publications Code BrainDump

Analysis

Feb 21, 2025
tags
Math

Links to this note:

  • Data Driven PDE Solvers for Power Systems
  • Writing
  • Zuckerman Institute
  • vanhasselt2015learning: Learning to Predict Independent of Span
  • sternberg2016cognitive: Cognitive Psychology
  • spratling2017review: A review of predictive coding algorithms
  • roy2018editorial: Editorial: Representation in the Brain
  • prinz1990common: A Common Coding Approach to Perception and Action
  • Notes for Students
  • mohamed2019monte: Monte Carlo Gradient Estimation in Machine Learning
  • kostas2019asynchronous: Asynchronous Coagent Networks: Stochastic Networks for Reinforcement Learning without Backpropagation or a Clock
  • Interview Review Material
  • henderson2018deep: Deep Reinforcement Learning That Matters
  • goodman2016what: What Does Research Reproducibility Mean?
  • Converges
  • clark2013whatever: Whatever next? Predictive brains, situated agents, and the future of cognitive science
  • chandar2019nonsaturating: Towards Non-saturating Recurrent Units for Modelling Long-term Dependencies
  • Cauchy Criterion
  • badia2020agent57: Agent57: Outperforming the Atari Human Benchmark

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