---
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_9_task_0_run_id_1_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-0-difficulty-9
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 9
    dataset:
      name: hivex-drone-based-reforestation
      type: hivex-drone-based-reforestation
    metrics:
    - type: cumulative_distance_reward
      value: 1.9881950914859772 +/- 0.6435197796866906
      name: Cumulative Distance Reward
      verified: true
    - type: cumulative_distance_until_tree_drop
      value: 62.70152519226074 +/- 15.481708378361306
      name: Cumulative Distance Until Tree Drop
      verified: true
    - type: cumulative_distance_to_existing_trees
      value: 65.97381935119628 +/- 11.85813603247749
      name: Cumulative Distance to Existing Trees
      verified: true
    - type: cumulative_normalized_distance_until_tree_drop
      value: 0.19881950929760933 +/- 0.06435197701542571
      name: Cumulative Normalized Distance Until Tree Drop
      verified: true
    - type: cumulative_tree_drop_reward
      value: 5.003359270095825 +/- 1.691449588116139
      name: Cumulative Tree Drop Reward
      verified: true
    - type: out_of_energy_count
      value: 0.9511428594589233 +/- 0.05597489611462524
      name: Out of Energy Count
      verified: true
    - type: recharge_energy_count
      value: 10.313650798797607 +/- 1.3015464035988247
      name: Recharge Energy Count
      verified: true
    - type: tree_drop_count
      value: 1.0218095362186432 +/- 0.05570651145686611
      name: Tree Drop Count
      verified: true
    - type: cumulative_reward
      value: 7.543602123260498 +/- 2.5896056315352975
      name: Cumulative Reward
      verified: true
---

This model serves as the baseline for the **Drone-Based Reforestation** environment, trained and tested on task <code>0</code> with difficulty <code>9</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>0</code><br>Difficulty: <code>9</code><br>Algorithm: <code>PPO</code><br>Episode Length: <code>2000</code><br>Training <code>max_steps</code>: <code>1200000</code><br>Testing <code>max_steps</code>: <code>300000</code><br><br>Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>Download the [Environment](https://github.com/hivex-research/hivex-environments)