metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_2_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-2
results:
- task:
type: sub-task
name: drop_seed
task-id: 3
difficulty-id: 2
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 1.2730848133563994 +/- 0.31384063871152373
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 46.571126289367676 +/- 6.711804112230181
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 62.378562469482425 +/- 4.8385232941913126
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.12730848103761672 +/- 0.03138406355454151
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 4.010982251167297 +/- 0.6601700266326962
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.05754003098234534 +/- 0.03282736545941193
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 11.035588264465332 +/- 0.725159645414964
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 0.9222618734836578 +/- 0.04192513553044461
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 98.53370529174805 +/- 5.198916602319761
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 2 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 2
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment