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Build production-ready AI agents in both Python and Typescript.
Metric-FF is a domain independent planning system developed by Joerg Hoffmann.
Tiny utilities providing logical facts of RL environments in a standardized form.
A Surrogate Model Benchmark for Dynamic Climate Impact Models
A service that parses a sentence using AMR and returns a set of Verbnet logic predicates grounded with the roles of the input sentence.
Neuro-Symbolic Reinforcement Learning: Logical Optimal Action (LOA), a novel RL with Logical Neural Network (LNN) on text-based games
Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus
In-depth tutorials for implementing deep learning models on your own with PyTorch.
Obstacle Tower Environment
Python and TensorFlow implementation of the paper "Learning Explanatory Rules from Noisy Data." Evans Richard and Edward Grefenstette. Journal of Artificial Intelligence Research 61 (2018): 1-64.
Open-Unmix - Music Source Separation for PyTorch
Minecraft environment for Open AI Gym, based on Microsoft's Malmo.
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
A PDDL library that parse PDDL files and provides a very simple interface to interact with domain-problems.
Legacy PocketMine-MP repository. Head to https://github.com/pmmp for up to date software.