The Flatland Framework is a multi-purpose environment to tackle problems around resilient resource allocation under uncertainty. It is designed to be a flexible and method agnostic to solve a wide range of problems in the field of operations research and reinforcement learning.
Objectives
Different solvers (e.g. Policy) should be testable without changing the general Flatland.
Todos
What needs to be done for the issue to be done and the objectives to be reached:
Minimal testing requirements
Policy exchange capability can be demostrated