metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_5_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-5
results:
- task:
type: main-task
name: main_task
task-id: 0
difficulty-id: 5
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 2.7580876886844634 +/- 0.7562888045399391
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 78.29452056884766 +/- 14.296043451183179
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 50.473754501342775 +/- 11.98073606874106
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.2758087694644928 +/- 0.07562888371330763
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 7.088011031150818 +/- 1.7168094182484812
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.9958095240592957 +/- 0.022119619288807686
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 9.258539686203003 +/- 0.587428694662249
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 0.9893650794029236 +/- 0.03160683668166852
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 10.612933225631714 +/- 2.659049482325796
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 5 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 5
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment