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20132026
most citedEnhancements for Real-Time Monte-Carlo Tree Search in General Video Game Playing

43 citations · 103 across the 26 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

Dynamic Resource Allocation for Ensemble Determinization MCTS

Jakub Kowalski, Adam Ciężkowski, Artur Krzyżyński +1

Simulation-based algorithms are especially suited for high-uncertainty environments such as adversarial board games with significant elements of randomness and hidden information.…

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…

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 $\mathc…

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…

quant-ph2026

A 1-bit quantum filter for particle trajectory reconstruction

Xenofon Chiotopoulos, Davide Nicotra, George Scriven +5

The transition to the High-Luminosity Large Hadron Collider (HL-LHC) presents a computational challenge where particle reconstruction complexity may outpace classical computing res…