Code for the execution experiment in master thesis "Signature-Q-Learning: A Non-Markovian Reinforcement Learning Approach""
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Updated
Apr 14, 2026 - Python
Code for the execution experiment in master thesis "Signature-Q-Learning: A Non-Markovian Reinforcement Learning Approach""
This repository contains the codes to simulate trajectories of particles in a potential well with stochastic resetting. The dynamics are governed by generalized Langevin equation under fractional Gaussian noise.
This is notebook for the fractional lindblad. it serves as a demo for my paper published in zenodo (fractional master equation). it shows how much inprovements can be made if you model qubit baths from a from kernels derived from the baths geometry.
Supplementary analysis code for the Continuity Theory Zenodo paper on seismic memory and rupture.
Reference implementation of all known algorithms for solving non-Markovian Reward Decision-Theoretic Planning circa 2003/04.
Neural memory diagnostics engine based on the Markov Embedding Theorem (MET). Includes a Python library, a 17-tool Model Context Protocol (MCP) server for LLMs, and a cross-platform desktop GUI.
Preprint and data for non-linear spectral structures without complexification (MSC 47J10)
Lenguaje no-markoviano HK-7: el opcode efectivo deriva de la suma de los últimos k opcodes efectivos (feedback loop real). Incluye intérprete y sintetizador inverso determinista. k=0 = máquina base, k>0 = deriva en cascada no preprocesable estáticamente.
compiler that treats time as a quantum state, not a parameter. Executable framework for relativistic quantum state evolution.
Non-Markovian quantum dynamics solver with a Boltzmann memory kernel (MaxEnt-derived) - a diagnostic tool for open quantum systems beyond Lindblad.
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