metadata
library_name: hivex
original_train_name: DroneBasedReforestation_difficulty_4_task_0_run_id_1_train
tags:
- hivex
- hivex-drone-based-reforestation
- reinforcement-learning
- multi-agent-reinforcement-learning
model-index:
- name: hivex-DBR-PPO-baseline-task-0-difficulty-4
results:
- task:
type: main-task
name: main_task
task-id: 0
difficulty-id: 4
dataset:
name: hivex-drone-based-reforestation
type: hivex-drone-based-reforestation
metrics:
- type: cumulative_distance_reward
value: 2.2025150191783904 +/- 0.8048838225723474
name: Cumulative Distance Reward
verified: true
- type: cumulative_distance_until_tree_drop
value: 70.3463491821289 +/- 13.872446958274292
name: Cumulative Distance Until Tree Drop
verified: true
- type: cumulative_distance_to_existing_trees
value: 63.00524223327637 +/- 14.558269040918253
name: Cumulative Distance to Existing Trees
verified: true
- type: cumulative_normalized_distance_until_tree_drop
value: 0.2202515023946762 +/- 0.08048838503417874
name: Cumulative Normalized Distance Until Tree Drop
verified: true
- type: cumulative_tree_drop_reward
value: 5.9483204627037045 +/- 2.3428193553001173
name: Cumulative Tree Drop Reward
verified: true
- type: out_of_energy_count
value: 0.9133015894889831 +/- 0.07074894155629612
name: Out of Energy Count
verified: true
- type: recharge_energy_count
value: 11.649015922546386 +/- 1.7220237341546332
name: Recharge Energy Count
verified: true
- type: tree_drop_count
value: 1.0417143070697785 +/- 0.08413648907043028
name: Tree Drop Count
verified: true
- type: cumulative_reward
value: 9.298489372730256 +/- 3.9538719454855293
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 4 using the Proximal Policy Optimization (PPO) algorithm.
Environment: Drone-Based Reforestation
Task: 0
Difficulty: 4
Algorithm: PPO
Episode Length: 2000
Training max_steps: 1200000
Testing max_steps: 300000
Train & Test Scripts
Download the Environment