metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_10_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-10
results:
- task:
type: main-task
name: main_task
task-id: 0
difficulty-id: 10
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 2.4901976776123047 +/- 0.7106346342581482
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 73.15180267333984 +/- 16.01239171149343
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 59.689389877319336 +/- 11.847134878664495
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.2490197652578354 +/- 0.07106346368414662
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 6.189901051521301 +/- 2.069236630928566
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.9284761929512024 +/- 0.0666754640473818
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 9.823968200683593 +/- 1.0843417843839367
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 1.0422539913654327 +/- 0.06928386006526491
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 10.091075601577758 +/- 2.9491417551616106
name: Cumulative Reward
verified: true
This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task 0 with difficulty 10 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 10
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment