Beta
Explore
Marketplace
Neural Labs
Chat
Wallet
Docs
hivex-AWS-PPO-baseline-task-1-difficulty-2 – AI Model by hivex-research | AlphaNeural AI
You can deploy this model and start earning money today!
hivex-research
/
hivex-AWS-PPO-baseline-task-1-difficulty-2
like
0
hivex
tensorboard
onnx
hivex-aerial-wildfire-suppression
reinforcement-learning
multi-agent-reinforcement-learning
2501.04180
model-index
us
Views
No views yet
Model card
Files and Versions
Community
API
Deploy
This model serves as the baseline for the
Aerial Wildfire Suppression
environment, trained and tested on task
1
with difficulty
2
using the Proximal Policy Optimization (PPO) algorithm.
Environment:
Aerial Wildfire Suppression
Task:
1
Difficulty:
2
Algorithm:
PPO
Episode Length:
3000
Training
max_steps
:
1800000
Testing
max_steps
:
180000
Train & Test
Scripts
Download the
Environment
