Alessio Russo (rssalessio)

rssalessio

Geek Repo

Company:@KTH

Location:Stockholm

Home Page:https://alessiorusso.net/

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Alessio Russo's repositories

PyDeePC

Python library that implements DeePC: Data-Enabled Predictive Control

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algorand-royalty-fees

This is a short tutorial that explains how to implement Royalty Fees using Inner Transactions and Teal v5 capabilities in the Algorand blockchain

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reading-list

This is a collection of interesting papers that I have read so far or want to read. Note that the list is not up-to-date. Topics: reinforcement learning, deep learning, mathematics, statistics, bandit algorithms, optimization.

PythonVRFT

Virtual Reference Feedback Tuning (VRFT) Python Library - Alessio Russo (alessior@kth.se)

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AdaptiveControlLibrary

Matlab implementation of the Adaptive Control Library

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PyZPC

Python library that implements ZPC: Zonotopic Data-Driven Predictive Control.

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data-poisoning-linear-systems

Code for the paper Analysis and Detectability of Offline Data Poisoning Attacks on Linear Systems.

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TZDDPC

Tube-Based Zonotopic Data Driven Predictive Control

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pyzonotope

Zonotope implementation in python. Supports CVXPY

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SelfTuningTubeBasedMPC

Self-Tuning Tube-Based MPC Controller

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OSRL-SC

OSRL (Optimal Representation Learning in Multi-Task Bandits) comprises an algorithm that addresses the problem of sample complexity with fixed confidence in Multi-Task Bandit problems. Published at the Thirty-Seventh AAAI Conference on Artificial Intelligence (AAAI23)

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ModelFreeActiveExplorationRL

This repository hosts the code accompanying the paper "Model-Free Active Exploration in Reinforcement Learning". Our study approaches the exploration problem in Reinforcement Learning (RL) from an information-theoretical viewpoint and presents a novel, efficient, and entirely model-free solution.

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Py-Data-Driven-Reachability-Analysis

Python implementation of data-driven reachability analysis using Zonotopes

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PyQuadraticFormNormal

Python library that implements the computation of the distribution of a linear combination of non-centered χ2 random variables. Can compute the distribution function of Quadratic Forms in Normal Variables

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torch-rl-learnable-environment

The goal of this repository is to provide a gym-compatible library to easily perform model-based Reinforcement Learning experiments using PyTorch. The library makes it easier to create learnable environments and ensembles of networks that can be used to learn the dynamics of an environment.

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BestPolicyIdentificationMDP

Python implementation of algorithms for Best Policy Identification in Markov Decision Processes

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PyCEM

Python Library for Cross Entropy Maximization

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rl-trained-agents

A collection of pre-trained RL agents using Stable Baselines3

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tikzplotlib

:bar_chart: Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.

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js-algorand-sdk

The official JavaScript SDK for Algorand.

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mbrl-lib

Library for Model Based RL

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opensea-erc1155

Example semi-fungible collectible, to demonstrate OpenSea integration for an ERC-1155 contract

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py-lower-bound-bai

Python utilities to compute a lower bound of the expected sample complexity to identify the best arm in a bandit model

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stable-baselines3

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

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test-dapp

The sample dapp used for e2e testing and metamask-extension QA

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