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The AI Steerability 360 toolkit is an extensible, open-source Python library for steering LLMs. Steering abstractions are designed around four model control surfaces: input (modification of the prompt), structural (modification of the…

The $\texttt{torch-choice}$ is an open-source library for flexible, fast choice modeling with Python and PyTorch. $\texttt{torch-choice}$ provides a $\texttt{ChoiceDataset}$ data structure to manage databases flexibly and…

Machine Learning · Computer Science 2025-06-05 Tianyu Du , Ayush Kanodia , Susan Athey

Many poker systems, whether created with heuristics or machine learning, rely on the probability of winning as a key input. However calculating the precise probability using combinatorics is an intractable problem, so instead we approximate…

Artificial Intelligence · Computer Science 2018-08-24 Brandon Da Silva

\textsc{Pykat} is a Python package which extends the popular optical interferometer modelling software \textsc{Finesse}. It provides a more modern and efficient user interface for conducting complex numerical simulations, as well as…

Instrumentation and Methods for Astrophysics · Physics 2020-04-16 Daniel D. Brown , Philip Jones , Samuel Rowlinson , Andreas Freise , Sean Leavey , Anna C. Green , Daniel Toyra

In many countries poker is one of the most popular card games. Although each variant of poker has its own rules, all involve the use of money to make the challenge meaningful. Nowadays, in the collective consciousness, some variants of…

Physics and Society · Physics 2016-06-02 Marco Alberto Javarone

Robotics has made remarkable hardware strides-from DARPA's Urban and Robotics Challenges to the first humanoid-robot kickboxing tournament-yet commercial autonomy still lags behind progress in machine learning. A major bottleneck is…

Evaluating agent performance when outcomes are stochastic and agents use randomized strategies can be challenging when there is limited data available. The variance of sampled outcomes may make the simple approach of Monte Carlo sampling…

Artificial Intelligence · Computer Science 2017-01-23 Neil Burch , Martin Schmid , Matej Moravčík , Michael Bowling

Game development is a highly technical practice that traditionally requires programming skills. This serves as a barrier to entry for would-be developers or those hoping to use games as part of their creative expression. While there have…

Human-Computer Interaction · Computer Science 2024-10-03 Megan Sumner , Vardan Saini , Matthew Guzdial

We describe the open-source global fitting package GAMBIT: the Global And Modular Beyond-the-Standard-Model Inference Tool. GAMBIT combines extensive calculations of observables and likelihoods in particle and astroparticle physics with a…

The increasing importance of Computational Science and Engineering has highlighted the need for high-quality scientific software. However, research software development is often hindered by limited funding, time, staffing, and technical…

Software Engineering · Computer Science 2025-03-10 Armin Ariamajd , Raquel López-Ríos de Castro , Andrea Volkamer

CG-Kit is a new code generation toolkit that we propose as a solution for portability and maintainability for scientific computing applications. The development of CG-Kit is rooted in the urgent need created by the shifting landscape of…

Distributed, Parallel, and Cluster Computing · Computer Science 2024-01-09 Johann Rudi , Youngjun Lee , Aidan H. Chadha , Mohamed Wahib , Klaus Weide , Jared P. O'Neal , Anshu Dubey

RLCard is an open-source toolkit for reinforcement learning research in card games. It supports various card environments with easy-to-use interfaces, including Blackjack, Leduc Hold'em, Texas Hold'em, UNO, Dou Dizhu and Mahjong. The goal…

Artificial Intelligence · Computer Science 2020-02-17 Daochen Zha , Kwei-Herng Lai , Yuanpu Cao , Songyi Huang , Ruzhe Wei , Junyu Guo , Xia Hu

Today, artificial intelligence systems driven by machine learning algorithms can be in a position to take important, and sometimes legally binding, decisions about our everyday lives. In many cases, however, these systems and their actions…

Machine Learning · Computer Science 2022-08-26 Kacper Sokol , Raul Santos-Rodriguez , Peter Flach

Since the introduction of ChatGPT and GPT-4, these models have been tested across a large number of tasks. Their adeptness across domains is evident, but their aptitude in playing games, and specifically their aptitude in the realm of poker…

Computation and Language · Computer Science 2023-12-22 Akshat Gupta

fairseq is an open-source sequence modeling toolkit that allows researchers and developers to train custom models for translation, summarization, language modeling, and other text generation tasks. The toolkit is based on PyTorch and…

Computation and Language · Computer Science 2019-04-03 Myle Ott , Sergey Edunov , Alexei Baevski , Angela Fan , Sam Gross , Nathan Ng , David Grangier , Michael Auli

We present Qiskit Machine Learning (ML), a high-level Python library that combines elements of quantum computing with traditional machine learning. The API abstracts Qiskit's primitives to facilitate interactions with classical simulators…

Proof assistants enable users to develop machine-checked proofs regarding software-related properties. Unfortunately, the interactive nature of these proof assistants imposes most of the proof burden on the user, making formal verification…

Software Engineering · Computer Science 2024-05-08 Pedro Carrott , Nuno Saavedra , Kyle Thompson , Sorin Lerner , João F. Ferreira , Emily First

Poker is an imperfect information game that has served as a long-standing benchmark for decision-making under uncertainty. To maximize utility beyond the Nash equilibrium, an agent can deviate from Nash-equilibrium policies to exploit…

Machine Learning · Computer Science 2026-05-12 Vlad Murgoci , Matthijs Spaan , Yaniv Oren

We introduce a Python open-source library for $\mathcal{X}$-armed bandit and online blackbox optimization named PyXAB. PyXAB contains the implementations for more than 10 $\mathcal{X}$-armed bandit algorithms, such as HOO, StoSOO, HCT, and…

Machine Learning · Statistics 2023-03-08 Wenjie Li , Haoze Li , Jean Honorio , Qifan Song

Our ignorance of the winnability percentage of the solitaire card game `Klondike' has been described as ``one of the embarrassments of applied mathematics''. Klondike, the game in the Windows Solitaire program, is just one of many…

Artificial Intelligence · Computer Science 2026-03-04 Charlie Blake , Ian P. Gent