metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_7_task_3_run_id_2_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-3-difficulty-7
results:
- task:
type: sub-task
name: drop_seed
task-id: 3
difficulty-id: 7
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 1.3364013075828551 +/- 0.28799869386679394
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 49.32145935058594 +/- 5.925578414273251
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 65.15668449401855 +/- 5.863480554164979
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.1336401303112507 +/- 0.028799868452171418
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 3.9665349340438842 +/- 0.7359914045841582
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.03556458073668182 +/- 0.01864171812248584
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 11.073680667877197 +/- 0.6686583978261852
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 0.9511495363712311 +/- 0.027165762086272822
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 101.46505523681641 +/- 3.079002322895952
name: Cumulative Reward
verified: true
This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 3 with difficulty 7 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 7
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment