Decision Making
Showing 22 of 22 projects
An end-to-end platform for applied reinforcement learning and contextual bandits, originally developed at Facebook for production recommendation systems.
An end-to-end platform for applied reinforcement learning and contextual bandits, built with PyTorch for production decision-making systems.
A collection of minimalist Gymnasium environments for autonomous driving decision-making and reinforcement learning research.
A collaborative decision-making tool for organizations to discuss proposals and reach consensus.
A graphical editor for creating and monitoring Behavior Trees, compliant with BehaviorTree.CPP.
A public RFC process for proposing and discussing changes to the npm CLI and its supporting web services.
A low-code visual tool for domain experts to build, run, and monitor real-time decision algorithms on streaming data.
A formal process for proposing and reviewing substantial changes to the Nix ecosystem, including Nix and Nixpkgs.
A JavaScript library for reinforcement learning using Markov Decision Processes, implemented in C++ for performance.
A fast, scalable, and extensible utility-based decision-making AI library for C# and Unity.
A C# library for implementing AI and game logic behavior trees using a fluent API.
An application-oriented Deep Reinforcement Learning framework for real-world decision problems, covering simulation to deployment.
A repository for proposing and discussing major changes to the Svelte framework through a structured Request for Comments process.
A collection of high-performance utility libraries for Haxe projects, including math, color, and decision-making helpers.
ROS extensions and implementations for the PyTrees behavior tree library, enabling modular robot behavior design.
A simple C++ library for multi-armed bandit simulations with multiple policy implementations.
A Python SDK for deploying teams of AI research agents to forecast, score, classify, and gather data at scale.
An empirical analysis of decision weights in Prospect Theory using Amazon Mechanical Turk experiments to quantify human irrationality in probabilistic choices.
A behavior tree implementation for ActionScript 3, ported from the original Objective-C version.
A Lua hierarchical task network planner for AI, featuring partial planning, domain splicing, and minimal dependencies.
A Yew-based frontend for dot voting, enabling collaborative prioritization through visual dot allocation.
A fuzzy inference system library for Ada that enables fuzzy logic control and decision-making applications.
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