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From the 1 of 15 linked papers with an AI index.

activity
20242026
collaborators

15 papers

cs.AI2026

Dynamic Resource Allocation for Ensemble Determinization MCTS

Jakub Kowalski, Adam Ciężkowski, Artur Krzyżyński +1

The paper introduces two dynamic resource allocation methods for Ensemble Determinization Monte Carlo Tree Search, adjusting the number of determinization trees and the simulation…

quant-ph2026

Magic-Informed Quantum Architecture Search

Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +1

Nonstabilizerness, commonly referred to as magic, is a fundamental resource underpinning quantum advantage. In this paper, we propose a magic-informed quantum architecture search (…

cs.AI2026

StratFormer: Adaptive Opponent Modeling and Exploitation in Imperfect-Information Games

Andy Caen, Mark H. M. Winands, Dennis J. N. J. Soemers

We present StratFormer, a transformer-based meta-agent that learns to simultaneously model and exploit opponents in imperfect-information games through a two-phase curriculum. The…

quant-ph2026

Nonstabilizerness Estimation using Graph Neural Networks

Vincenzo Lipardi, Domenica Dibenedetto, Georgios Stamoulis +2

This article proposes a Graph Neural Network (GNN) approach to estimate nonstabilizerness in quantum circuits, measured by the stabilizer Rényi entropy (SRE). Nonstabilizerness is…

stat.ML2026

An Efficient Algorithm for Thresholding Monte Carlo Tree Search

Shoma Nameki, Atsuyoshi Nakamura, Junpei Komiyama +1

We introduce the Thresholding Monte Carlo Tree Search problem, in which, given a tree and a threshold , a player must answer whether the root node value of $\math…

cs.GT2026

Asymmetric regularization mechanism for GAN training with Variational Inequalities

Spyridon C. Giagtzoglou, Mark H. M. Winands, Barbara Franci

We formulate the training of generative adversarial networks (GANs) as a Nash equilibrium seeking problem. To stabilize the training process and find a Nash equilibrium, we propose…