Decision Making
Showing 16 of 16 projects
An end-to-end platform for applied reinforcement learning and contextual bandits, built with PyTorch for production decision-making systems.
An end-to-end platform for applied reinforcement learning and contextual bandits, originally developed at Facebook for production recommendation 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.
Related Tags
Found a gem we're missing?
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.