activity
20192026
most citedThe αμ Search Algorithm for the Game of Bridge

2 citations · 3 across the 9 of their papers we have counts for

collaborators

9 papers

cs.LG2026

Signed Dual Attention: Capturing Signed Dependencies in Time Series Forecasting

Balthazar Courvoisier, Tristan Cazenave

Initially developed for natural language processing, Transformer architectures and attention mechanisms are now central to a wide range of deep learning models, including applicati…

q-bio.BM2026

The Montparnasse Algorithm for RNA Design

Tristan Cazenave

RNA design consists of discovering a nucleotide sequence that optimizes predefined criteria, such as secondary structure. It is useful for synthetic biology, medicine, and nanotech…

q-bio.BM2025

BeeRNA: tertiary structure-based RNA inverse folding using Artificial Bee Colony

Mehyar Mlaweh, Tristan Cazenave, Ines Alaya

The Ribonucleic Acid (RNA) inverse folding problem, designing nucleotide sequences that fold into specific tertiary structures, is a fundamental computational biology problem with…

cs.LG2025

SpinGPT: A Large-Language-Model Approach to Playing Poker Correctly

Narada Maugin, Tristan Cazenave

The Counterfactual Regret Minimization (CFR) algorithm and its variants have enabled the development of pokerbots capable of beating the best human players in heads-up (1v1) cash g…

cs.AI2025

Eterna is Solved

Tristan Cazenave

RNA design consists of discovering a nucleotide sequence that folds into a target secondary structure. It is useful for synthetic biology, medicine, and nanotechnology. We propose…

cs.CL2025

BrAIcht, a theatrical agent that speaks like Bertolt Brecht's characters

Baz Roland, Kristina Malyseva, Anna Pappa +1

This project introduces BrAIcht, an AI conversational agent that creates dialogues in the distinctive style of the famous German playwright Bertolt Brecht. BrAIcht is fine-tuned us…

cs.AI2024

Monte Carlo Search Algorithms Discovering Monte Carlo Tree Search Exploration Terms

Tristan Cazenave

Monte Carlo Tree Search and Monte Carlo Search have good results for many combinatorial problems. In this paper we propose to use Monte Carlo Search to design mathematical expressi…

cs.AI2024★ 1 cited

Generalized Nested Rollout Policy Adaptation with Limited Repetitions

Tristan Cazenave

Generalized Nested Rollout Policy Adaptation (GNRPA) is a Monte Carlo search algorithm for optimizing a sequence of choices. We propose to improve on GNRPA by avoiding too determin…

cs.AI2019★ 2 cited

The αμ Search Algorithm for the Game of Bridge

Tristan Cazenave, Véronique Ventos

αμ is an anytime heuristic search algorithm for incomplete information games that assumes perfect information for the opponents. αμ addresses the strategy fusion and non-locality p…