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说明文档
This model serves as the baseline for the Drone-Based Reforestation environment, trained and tested on task <code>1</code> with difficulty <code>4</code> using the Proximal Policy Optimization (PPO) algorithm.<br><br>Environment: Drone-Based Reforestation<br>Task: <code>1</code><br>Difficulty: <code>4</code><br>Algorithm: <code>PPO</code><br>Episode Length: <code>2000</code><br>Training <code>max_steps</code>: <code>1200000</code><br>Testing <code>max_steps</code>: <code>300000</code><br><br>Train & Test Scripts<br>Download the Environment
hivex-research/hivex-DBR-PPO-baseline-task-1-difficulty-4
作者 hivex-research
reinforcement-learning
hivex
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♥ 0
创建时间: 2024-08-30 08:07:08+00:00
更新时间: 2025-03-20 23:18:11+00:00
在 Hugging Face 上查看文件 (14)
.gitattributes
Agent.onnx
ONNX
Agent/Agent-1200030.onnx
ONNX
Agent/Agent-1200030.pt
Agent/Agent-499980.onnx
ONNX
Agent/Agent-499980.pt
Agent/Agent-999989.onnx
ONNX
Agent/Agent-999989.pt
Agent/checkpoint.pt
Agent/events.out.tfevents.1717243112.RICHARD.23980.0
README.md
configuration.yaml
run_logs/timers.json
run_logs/training_status.json