Natural Language-Based Human–Machine Collaborative Learning Games Algorithm Based on Deep Rein-Forcement Learning

Human-machine collaborative game agents are usually in an open environment, and they typically obtain behavioral information through environmental rewards. However, traditional agent environment exploration techniques are limited in reward-sparse environments. Deep rein-forcement learning was adopte...

Ausführliche Beschreibung

Bibliografische Detailangaben

1. Verfasser:	Le Na
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	IEEE 2024-01-01
Schriftenreihe:	IEEE Access
Schlagworte:	Deep rein-forcement learning natural language instructions reward structure hind-sight experience re-play human-machine collaboration learning games
Online-Zugang:	https://ieeexplore.ieee.org/document/10433481/
Tags:	Tag hinzufügen Keine Tags, Fügen Sie das erste Tag hinzu!