Fernando Palafox

Research

I’m a PhD student at the CLeAR Lab at UT Austin and I work on decision-making algorithms for complex dynamical systems (like robots). My research interests include game theory, machine learning, reinforcement learning, and control theory. I’m advised by Dr. David Fridovich-Keil.

Links: Google Scholar, GitHub, LinkedIn, About Me.

Tags: papers, game theory, control theory, machine learning, weekend hacks


  • Nov 18, 2024

    Belief Space Planning vs. ALPaCA

    • #ct
    • #ml
  • Nov 06, 2024

    Why is Dual Control Hard?

    • #ct
  • Oct 30, 2024

    Simple Implementation of Tabular Q-Learning

    • #ml
  • Oct 29, 2024

    Gaussian Processes and Meta-Learning Priors

    • #ml
  • Oct 13, 2024

    Deriving the Loss of a Dynamical VAE

    • #ml
  • Oct 01, 2024

    A Gaussian Process

    • #ml
  • Sep 15, 2024

    Correcting Robot Joint Friction w/ Differentiable Simulators

    • #ml
  • May 01, 2024

    Smooth Information Gathering in Two-Player Noncooperative Games

    • #paper
    • #gt
    • #ct
  • Nov 25, 2023

    Learning Hyperplanes for Collision Avoidance in Space

    • #paper
    • #gt
    • #ct
  • Nov 20, 2023

    GPT + Tiny Shakespeare Dataset

    • #wh
    • #ml
  • Apr 04, 2023

    Parallelizing Stochastic Games with ADMM

    • #paper
    • #gt
  • Sep 24, 2021

    Low-Cost, High Performance, SDR-Based Local Positioning System

    • #paper
  • Jan 27, 2021

    Software-Defined Radios for Global Navigation Satellite Systems

    • #paper
  • Sep 15, 2020

    Other Projects


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