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说明文档

This model serves as the baseline for the Aerial Wildfire Suppression environment, trained and tested on task <code>7</code> with difficulty <code>2</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>

Environment: Aerial Wildfire Suppression<br> Task: <code>7</code><br> Difficulty: <code>2</code><br> Algorithm: <code>PPO</code><br> Episode Length: <code>3000</code><br> Training <code>max_steps</code>: <code>1800000</code><br> Testing <code>max_steps</code>: <code>180000</code><br><br>

Train & Test Scripts<br> Download the Environment


Chinese (Simplified) Translation:

该模型是 空中野火扑灭 环境的基线模型,使用近端策略优化(PPO)算法在任务 <code>7</code>、难度 <code>2</code> 下进行训练和测试。<br><br>

环境:空中野火扑灭<br> 任务:<code>7</code><br> 难度:<code>2</code><br> 算法:<code>PPO</code><br> 回合长度:<code>3000</code><br> 训练 <code>max_steps</code>:<code>1800000</code><br> 测试 <code>max_steps</code>:<code>180000</code><br><br>

训练和测试脚本<br> 下载环境

hivex-research/hivex-AWS-PPO-baseline-task-7-difficulty-2

作者 hivex-research

reinforcement-learning hivex
↓ 0 ♥ 0

创建时间: 2024-08-30 13:39:56+00:00

更新时间: 2025-03-20 21:18:19+00:00

在 Hugging Face 上查看

文件 (16)

.gitattributes
Agent.onnx ONNX
Agent/Agent-1498740.onnx ONNX
Agent/Agent-1498740.pt
Agent/Agent-1802205.onnx ONNX
Agent/Agent-1802205.pt
Agent/Agent-499743.onnx ONNX
Agent/Agent-499743.pt
Agent/Agent-999222.onnx ONNX
Agent/Agent-999222.pt
Agent/checkpoint.pt
Agent/events.out.tfevents.1717246171.RICHARD.16916.0
README.md
configuration.yaml
run_logs/timers.json
run_logs/training_status.json