Abstract: Offline reinforcement learning (RL) learns policies from fixed-size datasets without interacting with the environment, while multi-agent reinforcement learning (MARL) faces challenges from ...
Abstract: Accurate alignment of virtual objects in Augmented Reality (AR) is essential for precision-critical applications such as surgery, infrastructure inspection, and digital twin systems. However ...
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