The simplest, fastest repository for training/finetuning medium-sized GPTs.

Repository of the paper "Adaptive Exploration for Multi-Reward Multi-Policy Evaluation", ICML 2025.

Pure Exploration with Feedback Graphs, AISTATS2025

List of startups doing AI & ML

Conformal_OPE_MDP

TradeMaster is an open-source platform for quantitative trading empowered by reinforcement learning 🔥 ⚡ 🌈

A curated list of awesome exploration RL resources (continually updated)

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

Zonotope implementation in python. Supports CVXPY

Python implementation of data-driven reachability analysis using Zonotopes

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

Self-Tuning Tube-Based MPC Controller

Python Library for Cross Entropy Maximization

Tube-Based Zonotopic Data Driven Predictive Control

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…

Matlab implementation of the Adaptive Control Library

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

A collection of pre-trained RL agents using Stable Baselines3

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

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

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, ban…

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 …

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

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 Va…

Python library that implements DeePC: Data-Enabled Predictive Control

OpenAI Gym wrapper for the DeepMind Control Suite

PyTorch implementations of deep reinforcement learning algorithms and environments

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