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Testpyramidsrnd
T
Testpyramidsrnd
Developed by reachrkr
這是一個基於PPO算法的強化學習智能體，專門訓練用於在Unity ML-Agents的金字塔環境中執行任務。
Downloads 59
Release Time : 7/28/2022
Model Overview
該模型使用PPO(Proximal Policy Optimization)算法在Unity的ML-Agents金字塔環境中進行訓練，能夠在該3D環境中完成特定的導航或任務解決。
Model Features
Unity環境集成
專為Unity ML-Agents金字塔環境設計，可與Unity3D無縫集成
PPO算法實現
採用Proximal Policy Optimization算法，平衡探索與利用
3D導航能力
能夠在複雜的3D金字塔環境中進行有效導航
Model Capabilities
3D環境導航
強化學習決策
Unity環境交互
Use Cases
遊戲AI
智能NPC控制
在遊戲環境中控制NPC完成特定任務
NPC能夠自主導航並完成任務
機器人模擬
虛擬機器人訓練
在虛擬環境中訓練機器人導航能力
為真實世界機器人部署提供預訓練模型
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