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- ---
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- library_name: hivex
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- original_train_name: AerialWildfireSuppression_difficulty_5_task_3_run_id_1_train
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- tags:
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- - hivex
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- - hivex-aerial-wildfire-suppression
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- - reinforcement-learning
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- - multi-agent-reinforcement-learning
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- model-index:
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- - name: hivex-AWS-PPO-baseline-task-3-difficulty-5
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- results:
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- - task:
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- type: sub-task
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- name: minimize_time_fire_burning
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- task-id: 3
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- dataset:
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- name: hivex-aerial-wildfire-suppression
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- type: hivex-aerial-wildfire-suppression
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- metrics:
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- - type: cumulative_reward
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- value: 972.7084733963013 +/- 771.3352656170343
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- name: "Cumulative Reward"
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- verified: true
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- - type: crash_count
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- value: 0.10000000298023223 +/- 0.14709666274350333
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- name: "Crash Count"
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- verified: true
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- - type: extinguishing_trees
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- value: 21.849999871850013 +/- 26.55595966139508
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- name: "Extinguishing Trees"
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- verified: true
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- - type: extinguishing_trees_reward
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- value: 109.25000078678131 +/- 132.77980124383632
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- name: "Extinguishing Trees Reward"
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- verified: true
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- - type: fire_out
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- value: 0.2833333373069763 +/- 0.3903065252105535
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- name: "Fire Out"
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- verified: true
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- - type: fire_too_close_to_city
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- value: 0.975 +/- 0.11180339887498947
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- name: "Fire too Close to City"
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- verified: true
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- - type: preparing_trees
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- value: 720.8999999046325 +/- 714.1611892677554
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- name: "Preparing Trees"
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- verified: true
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- - type: preparing_trees_reward
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- value: 720.8999999046325 +/- 714.1611892677554
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- name: "Preparing Trees Reward"
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- verified: true
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- - type: water_drop
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- value: 43.80000042915344 +/- 23.772717959813576
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- name: "Water Drop"
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- verified: true
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- - type: water_pickup
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- value: 43.35833301544189 +/- 23.80096972956163
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- name: "Water Pickup"
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- verified: true
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ library_name: hivex
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+ original_train_name: AerialWildfireSuppression_difficulty_5_task_3_run_id_1_train
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+ tags:
5
+ - hivex
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+ - hivex-aerial-wildfire-suppression
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+ - reinforcement-learning
8
+ - multi-agent-reinforcement-learning
9
+ model-index:
10
+ - name: hivex-AWS-PPO-baseline-task-3-difficulty-5
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+ results:
12
+ - task:
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+ type: sub-task
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+ name: minimize_time_fire_burning
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+ task-id: 3
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+ difficulty-id: 5
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+ dataset:
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+ name: hivex-aerial-wildfire-suppression
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+ type: hivex-aerial-wildfire-suppression
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+ metrics:
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+ - type: crash_count
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+ value: 0.10000000298023223 +/- 0.14709666274350333
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+ name: Crash Count
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+ verified: true
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+ - type: extinguishing_trees
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+ value: 21.849999871850013 +/- 26.55595966139508
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+ name: Extinguishing Trees
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+ verified: true
29
+ - type: extinguishing_trees_reward
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+ value: 109.25000078678131 +/- 132.77980124383632
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+ name: Extinguishing Trees Reward
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+ verified: true
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+ - type: fire_out
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+ value: 0.2833333373069763 +/- 0.3903065252105535
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+ name: Fire Out
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+ verified: true
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+ - type: fire_too_close_to_city
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+ value: 0.975 +/- 0.11180339887498947
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+ name: Fire too Close to City
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+ verified: true
41
+ - type: preparing_trees
42
+ value: 720.8999999046325 +/- 714.1611892677554
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+ name: Preparing Trees
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+ verified: true
45
+ - type: preparing_trees_reward
46
+ value: 720.8999999046325 +/- 714.1611892677554
47
+ name: Preparing Trees Reward
48
+ verified: true
49
+ - type: water_drop
50
+ value: 43.80000042915344 +/- 23.772717959813576
51
+ name: Water Drop
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+ verified: true
53
+ - type: water_pickup
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+ value: 43.35833301544189 +/- 23.80096972956163
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+ name: Water Pickup
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+ verified: true
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+ - type: cumulative_reward
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+ value: 972.7084733963013 +/- 771.3352656170343
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+ name: Cumulative Reward
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+ verified: true
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+ ---
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+
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+ This model serves as the baseline for the **Aerial Wildfire Suppression** environment, trained and tested on task <code>3</code> with difficulty <code>5</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>
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+
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+ Environment: **Aerial Wildfire Suppression**<br>
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+ Task: <code>3</code><br>
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+ Difficulty: <code>5</code><br>
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+ Algorithm: <code>PPO</code><br>
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+ Episode Length: <code>3000</code><br>
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+ Training <code>max_steps</code>: <code>1800000</code><br>
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+ Testing <code>max_steps</code>: <code>180000</code><br><br>
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+
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+ Train & Test [Scripts](https://github.com/hivex-research/hivex)<br>
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+ Download the [Environment](https://github.com/hivex-research/hivex-environments)