metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_9_task_3_run_id_1_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-3-difficulty-9
results:
- task:
type: sub-task
name: drop_seed
task-id: 3
difficulty-id: 9
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 1.3542225050926209 +/- 0.23333899783579354
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 49.953554458618164 +/- 6.4635271249103035
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 65.1268350982666 +/- 6.275221217555885
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.13542225003242492 +/- 0.02333390047639469
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 4.086031370162964 +/- 0.8049852876065032
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.03118088087067008 +/- 0.020989988346072946
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 11.123015098571777 +/- 0.6124465630966653
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 0.9591382348537445 +/- 0.028923095592019384
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 102.52203262329101 +/- 3.3865961577425283
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 9 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 3
Difficulty: 9
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment