Stars
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
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
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.
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