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hivex-research/hivex-AWS-PPO-baseline-task-2-difficulty-2
hivex-AWS-PPO-baseline-task-2-difficulty-2 is a reinforcement learning model from hivex-research. Use it for the reinforcement learning task on the model card, and read the license before you ship it in a product. It is set up for hivex.
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task <code2</code with difficulty <code2</code using the Proximal Policy Optimization (PPO) algorithm.<br<br
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Updated Mar 20, 2025
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From the Hugging Face model README
This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task <code>2</code> with difficulty <code>2</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>
Environment: Aerial Wildfire Suppression<br> Task: <code>2</code><br> Difficulty: <code>2</code><br> Algorithm: <code>PPO</code><br> Episode Length: <code>3000</code><br> Training <code>max_steps</code>: <code>1800000</code><br> Testing <code>max_steps</code>: <code>180000</code><br><br>
Train & Test Scripts<br> Download the Environment