A comprehensive autonomous decentralized systems framework for AI control architects.
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Updated
May 19, 2021 - Elixir
A comprehensive autonomous decentralized systems framework for AI control architects.
Heterogeneous Hierarchical Multi Agent Reinforcement Learning for Air Combat
Computation lab
Analysis and implementation of a modified training environment from the paper "Imitation Learning over Heterogeneous Agents with Restraining Bolts." (De Giacomo et al, 2020)
Sample code for computing the Aiyagari (1994) model in CUDA (GPU). Hope it is useful for those interested in parallelizing quantitative macroeconomics models.
Material for my Master Thesis | Summer Term 2023 | University of Bonn
Journal of Math Econ (2024)
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