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---
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library_name: hivex
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original_train_name: DroneBasedReforestation_difficulty_1_task_0_run_id_2_train
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tags:
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- hivex
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- hivex-drone-based-reforestation
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- reinforcement-learning
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- multi-agent-reinforcement-learning
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model-index:
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- name: hivex-DBR-PPO-baseline-task-0-difficulty-1
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results:
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- task:
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type: main-task
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name: main_task
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task-id: 0
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difficulty-id: 1
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dataset:
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name: hivex-drone-based-reforestation
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type: hivex-drone-based-reforestation
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metrics:
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- type: cumulative_distance_reward
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value: 2.0864201402664184 +/- 0.6296944874797746
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name: Cumulative Distance Reward
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verified: true
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- type: cumulative_distance_until_tree_drop
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value: 63.19091514587402 +/- 12.303839558575664
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name: Cumulative Distance Until Tree Drop
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verified: true
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- type: cumulative_distance_to_existing_trees
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value: 61.76650863647461 +/- 13.908253887773586
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name: Cumulative Distance to Existing Trees
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verified: true
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- type: cumulative_normalized_distance_until_tree_drop
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value: 0.20864201247692107 +/- 0.06296944883377423
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name: Cumulative Normalized Distance Until Tree Drop
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verified: true
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- type: cumulative_tree_drop_reward
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value: 5.931592869758606 +/- 1.8518746378631161
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name: Cumulative Tree Drop Reward
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verified: true
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- type: out_of_energy_count
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value: 0.9266984140872956 +/- 0.06184757754397895
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name: Out of Energy Count
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verified: true
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- type: recharge_energy_count
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value: 10.601777839660645 +/- 1.2478378815502142
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name: Recharge Energy Count
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verified: true
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- type: tree_drop_count
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value: 1.0418095350265504 +/- 0.08056789785926544
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name: Tree Drop Count
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verified: true
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- type: cumulative_reward
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value: 8.961133165359497 +/- 2.7381643935331064
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name: Cumulative Reward
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verified: true
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---
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This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 1 using the Proximal Policy Optimization (PPO) algorithm.
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Environment: Drone-Based Reforestation
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Task: <code>0</code>
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Difficulty: <code>1</code>
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Algorithm: <code>PPO</code>
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Episode Length: <code>2000</code>
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Training <code>max_steps</code>: <code>1200000</code>
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Testing <code>max_steps</code>: <code>300000</code>
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Train & Test [Scripts](https://github.com/hivex-research/hivex)
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Download the [Environment](https://github.com/hivex-research/hivex-environments)
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