---
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_2_task_0_run_id_2_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-0-difficulty-2
  results:
  - task:
      type: main-task
      name: main_task
      task-id: 0
      difficulty-id: 2
    dataset:
      name: hivex-drone-based-reforestation
      type: hivex-drone-based-reforestation
    metrics:
    - type: cumulative_distance_reward
      value: 2.830362557172775 +/- 0.8731884646965687
      name: Cumulative Distance Reward
      verified: true
    - type: cumulative_distance_until_tree_drop
      value: 81.5349309539795 +/- 16.35440671615
      name: Cumulative Distance Until Tree Drop
      verified: true
    - type: cumulative_distance_to_existing_trees
      value: 51.15435367584229 +/- 11.396382191072137
      name: Cumulative Distance to Existing Trees
      verified: true
    - type: cumulative_normalized_distance_until_tree_drop
      value: 0.28303625583648684 +/- 0.0873188485354732
      name: Cumulative Normalized Distance Until Tree Drop
      verified: true
    - type: cumulative_tree_drop_reward
      value: 6.897729444503784 +/- 1.9902223153268046
      name: Cumulative Tree Drop Reward
      verified: true
    - type: out_of_energy_count
      value: 0.9944761908054351 +/- 0.023806801146583904
      name: Out of Energy Count
      verified: true
    - type: recharge_energy_count
      value: 9.503872995376588 +/- 0.6012074882399382
      name: Recharge Energy Count
      verified: true
    - type: tree_drop_count
      value: 0.9864761888980865 +/- 0.03546595715538237
      name: Tree Drop Count
      verified: true
    - type: cumulative_reward
      value: 9.817112922668457 +/- 2.8792400845989854
      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>2</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>0</code><br>Difficulty: <code>2</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)