metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_1_task_3_run_id_0_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-3-difficulty-1
results:
- task:
type: sub-task
name: drop_seed
task-id: 3
difficulty-id: 1
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 1.1704939258098603 +/- 0.19094953820226412
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 45.521212310791014 +/- 5.629736102757813
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 63.47206115722656 +/- 6.1461301353938405
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.11704939216375351 +/- 0.019094953655432356
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 3.866243634223938 +/- 0.8022492017418626
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.0493655932508409 +/- 0.028394293838768382
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 10.92464771270752 +/- 0.6682069442874347
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 0.9307654321193695 +/- 0.038764458231368655
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 99.16041168212891 +/- 4.422805341579576
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 1 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 1
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment