This model serves as the baseline for the Wildfire Resource Management environment, trained and tested on task 2 with difficulty 4 using the Proximal Policy Optimization (PPO) algorithm.

Environment: Wildfire Resource Management
Task: 2
Difficulty: 4
Algorithm: PPO
Episode Length: 500
Training max_steps: 450000
Testing max_steps: 45000

Train & Test Scripts
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Reinforcement Learning

Collection including hivex-research/hivex-WRM-PPO-baseline-task-2-difficulty-4

Wildfire Resource Management

Collection

30 items • Updated 22 days ago

Evaluation results

Cumulative Reward on hivex-wildfire-resource-management
self-reported

1093.1187683105468 +/- 578.7491242760859
Collective Performance on hivex-wildfire-resource-management
self-reported

71.27123718261718 +/- 32.09683856042925
Individual Performance on hivex-wildfire-resource-management
self-reported

35.614274978637695 +/- 15.634065158512929
Reward for Moving Resources to Neighbours on hivex-wildfire-resource-management
self-reported

914.6083679199219 +/- 397.64001336221355
Reward for Moving Resources to Self on hivex-wildfire-resource-management
self-reported

0.5484737113118172 +/- 0.339556676622338

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