This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 1
with difficulty 2
using the Proximal Policy Optimization (PPO) algorithm.
Environment: Wildfire Resource Management
Task: 1
Difficulty: 2
Algorithm: PPO
Episode Length: 500
Training max_steps
: 450000
Testing max_steps
: 45000
Train & Test Scripts
Download the Environment
Evaluation results
- Cumulative Reward on hivex-wildfire-resource-managementself-reported274.1446533203125 +/- 64.14741483958754
- Collective Performance on hivex-wildfire-resource-managementself-reported47.04243335723877 +/- 13.647734597375532
- Individual Performance on hivex-wildfire-resource-managementself-reported25.11213264465332 +/- 7.222221709728652
- Reward for Moving Resources to Neighbours on hivex-wildfire-resource-managementself-reported1.1445139467716217 +/- 0.3653539966236824
- Reward for Moving Resources to Self on hivex-wildfire-resource-managementself-reported215.85740509033204 +/- 65.10330940872429