Closer to Human: Hybrid Training of VR Agents Beyond Robotic Motion

The success of virtual reality (VR) agents is not solely defined by task completion; adaptability and the ability to move beyond repetitive, robotic behavior are equally critical for embodiment, social interaction, rehabilitation, and training. To address this challenge, we propose a hybrid training...

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Podrobná bibliografie

Hlavní autoři:	Mohamad Sobhi, Mahdiyeh Sadat Moosavi, Christophe Guillet, Frederic Merienne, Mohammad Mehdi Ebadzadeh
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	IEEE 2026-01-01
Edice:	IEEE Access
Témata:	Virtual reality AI agent reinforcement learning imitation learning human-like motion
On-line přístup:	https://ieeexplore.ieee.org/document/11366647/
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