Juypter notebooks playground to explore and analyse economy and finance ideas

(T-RO, ICRA 2024) Tutorials on ergodic control and more

Robot agnostic information theoretic exploration strategy

Parallel random matrix tools and complexity for deep learning

Real-Time Ergodic Control

A comprehensive toolkit for ergodicity economics and related fields.

Decentralized Ergodic Swarm Control ROS package

Code, data, and tutorials for "Sense organ control in moths to moles is a gamble on information through motion"

Coverage Algorithms for Multi-Agent Systems

KL-Ergodic Exploration from Equilibrium

This repository is for a group project on Adaptive MCMC for the course MTH707A : Markov Chain Monte Carlo(MCMC) during the academic session 2021-2022 (even semester).

Exploring Ergodicity Economics in Insurance

In the second semester of 2021 - 2022, I took the course "Stochastic Process", which included programming exercises and projects in MATLAB language in the above files and you can see.

Memo's research works.

Framework for spectral confinement in Ring-LWE. Proves ETH violation via the Pi_2 Gaussian primorial attractor. Features IPR analysis yielding a sub-extensive fractal dimension D2 ~ 0.2329 and geometric renormalization (eps = pi*sqrt(2G)) based on Catalan's constant. Includes reproducible Jupyter Notebooks for lattice cryptanalysis.

3D mesh registration using ergodic trajectory exploration

PROJECT MIGRATED TO CODEBERG - Reinforcement Learning in Multiplicative Domains

Interactive simulation of non-ergodic systems demonstrating the divergence between time and ensemble averages, with Kelly Criterion-based risk optimization.

A digital communication project that aims to insinuate various line codes and their properties from an ensemble.

This simulation models the interactions between buyers and sellers in a market using a discrete Markov chain. The market consists of regular sellers and a fraction of opportunistic sellers who may deceive the buyers. The simulation tracks the evolution of buyer perception over time, influenced by encounters with these opportunistic sellers.