|
|
--- |
|
|
library_name: hivex |
|
|
original_train_name: DroneBasedReforestation_difficulty_5_task_6_run_id_1_train |
|
|
tags: |
|
|
- hivex |
|
|
- hivex-drone-based-reforestation |
|
|
- reinforcement-learning |
|
|
- multi-agent-reinforcement-learning |
|
|
model-index: |
|
|
- name: hivex-DBR-PPO-baseline-task-6-difficulty-5 |
|
|
results: |
|
|
- task: |
|
|
type: sub-task |
|
|
name: explore_furthest_distance_and_return_to_base |
|
|
task-id: 6 |
|
|
difficulty-id: 5 |
|
|
dataset: |
|
|
name: hivex-drone-based-reforestation |
|
|
type: hivex-drone-based-reforestation |
|
|
metrics: |
|
|
- type: furthest_distance_explored |
|
|
value: 137.37953353881835 +/- 12.615748983046979 |
|
|
name: Furthest Distance Explored |
|
|
verified: true |
|
|
- type: out_of_energy_count |
|
|
value: 0.6040635073184967 +/- 0.08043410811022636 |
|
|
name: Out of Energy Count |
|
|
verified: true |
|
|
- type: recharge_energy_count |
|
|
value: 106.3367606653273 +/- 119.63729576848576 |
|
|
name: Recharge Energy Count |
|
|
verified: true |
|
|
- type: cumulative_reward |
|
|
value: 3.9467455238103866 +/- 4.488707334085729 |
|
|
name: Cumulative Reward |
|
|
verified: true |
|
|
--- |
|
|
|
|
|
This model serves as the baseline for the **Drone-Based Reforestation** environment, trained and tested on task <code>6</code> with difficulty <code>5</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: **Drone-Based Reforestation**<br>Task: <code>6</code><br>Difficulty: <code>5</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) |
|
|
|
|
|
[hivex-paper]: https://arxiv.org/abs/2501.04180 |
