metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_3_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-3
results:
- task:
type: main-task
name: main_task
task-id: 0
difficulty-id: 3
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 2.2798677325248717 +/- 0.826199092335029
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 71.01197761535644 +/- 15.915402716637344
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 62.63453010559082 +/- 13.028011782073118
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.22798677459359168 +/- 0.08261990936252438
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 6.079879174232483 +/- 1.9570747333814178
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.9128571474552154 +/- 0.0670314456167534
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 10.353745937347412 +/- 1.1334994783704704
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 1.0618095421791076 +/- 0.07039888032455249
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 9.758727273941041 +/- 3.0183970200236456
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 3 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 3
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment