Repository containing the code and explanation of a solution to the Flatland Challenge problem.
- Updated
Jul 28, 2020 - Python
Repository containing the code and explanation of a solution to the Flatland Challenge problem.
Multi-Agent Reinforcement Learning challenge on trains re-scheduling problem (RSP) organized by the AIcrowd platform in collaboration with the Swiss Federal Railways.
An adaption of the Flatland environment for TorchRL.
Flatland Benchmarks (FAB) is an open-source web-based platform for running Benchmarks to foster Open Research
✒️🏠🚅 Draw your flatland environemnts by hand
Application of Answer Set Programming to the Flatland environment
This repo provides baselines for the Flatland Benchmarks hosted at benchmarks.flatland.cloud and the scenarios in the Flatland scenario repository flatland-scenarios.
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