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.

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decision-making machine-learning multi-agent-reinforcement-learning operations-research optimisation reinforcement-learning resilient-resource-allocation-under-uncertainty
4 Open Issues Need Help Last updated: Jul 22, 2026

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enhancement help wanted needs refinement core-design

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.

Jupyter Notebook
#decision-making#machine-learning#multi-agent-reinforcement-learning#operations-research#optimisation#reinforcement-learning#resilient-resource-allocation-under-uncertainty
enhancement good first issue

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.

Jupyter Notebook
#decision-making#machine-learning#multi-agent-reinforcement-learning#operations-research#optimisation#reinforcement-learning#resilient-resource-allocation-under-uncertainty
enhancement help wanted needs refinement refactoring performance

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.

Jupyter Notebook
#decision-making#machine-learning#multi-agent-reinforcement-learning#operations-research#optimisation#reinforcement-learning#resilient-resource-allocation-under-uncertainty
enhancement help wanted needs refinement core-design

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.

Jupyter Notebook
#decision-making#machine-learning#multi-agent-reinforcement-learning#operations-research#optimisation#reinforcement-learning#resilient-resource-allocation-under-uncertainty