rssalessio

AdaptiveControlLibrary

Matlab implementation of the Adaptive Control Library

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

data-poisoning-linear-systems

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

nnGA

Neural Network Genetic Algorithm library used for deep learning problems

PyDeePC

Python library that implements DeePC: Data-Enabled Predictive Control

PythonVRFT

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

PytorchRBFLayer

Pytorch RBF Layer implements a radial basis function layer in Pytorch. Radial Basis networks can be used to approximate functions.

PyZPC

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

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.

TZDDPC

Tube-Based Zonotopic Data Driven Predictive Control

rssalessio/PyDeePC

Python library that implements DeePC: Data-Enabled Predictive Control

rssalessio/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

rssalessio/PythonVRFT

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

rssalessio/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.

rssalessio/PyZPC

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

rssalessio/AdaptiveControlLibrary

Matlab implementation of the Adaptive Control Library

rssalessio/TZDDPC

Tube-Based Zonotopic Data Driven Predictive Control

rssalessio/data-poisoning-linear-systems

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

rssalessio/pyzonotope

Zonotope implementation in python. Supports CVXPY

rssalessio/SelfTuningTubeBasedMPC

Self-Tuning Tube-Based MPC Controller

rssalessio/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.

rssalessio/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)

rssalessio/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

rssalessio/optimal-attack-control-channel-mdp

rssalessio/Py-Data-Driven-Reachability-Analysis

Python implementation of data-driven reachability analysis using Zonotopes

rssalessio/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.

rssalessio/BestPolicyIdentificationMDP

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

rssalessio/PyCEM

Python Library for Cross Entropy Maximization

rssalessio/rl-trained-agents

A collection of pre-trained RL agents using Stable Baselines3

rssalessio/rssalessio

rssalessio/tikzplotlib

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

rssalessio/fair-best-arm-identification

rssalessio/js-algorand-sdk

The official JavaScript SDK for Algorand.

rssalessio/mbrl-lib

Library for Model Based RL

rssalessio/Multi-Reward-Best-Policy-Identification

This repository hosts the code accompanying the NeurIPS24 paper "Multiple Rewards Best Policy Identification". Our study investigates the exploration problem in Reinforcement Learning (RL) in presence of multiple rewards.

rssalessio/opensea-erc1155

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

rssalessio/PINN-School-2023

rssalessio/smart-contract-test

rssalessio/stable-baselines3

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

rssalessio/test-dapp

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