Abstract: This paper presents the design and implementation of a multi-agent reinforcement learning framework for adaptive wireless image sequence streaming in road traffic monitoring systems. This ...
While advanced methods like VACE and Phantom have advanced video generation for specific subjects in diverse scenarios, they struggle with multi-human identity preservation in dynamic interactions, ...
The bird has never gotten much credit for being intelligent. But the reinforcement learning powering the world’s most advanced AI systems is far more pigeon than human. In 1943, while the world’s ...
This is the official code of VQAThinker, the first open-source NR-VQA model enhanced via reinforcement learning, capable of performing both video quality scoring and understanding. Video quality ...
In the 1980s, Andrew Barto and Rich Sutton were considered eccentric devotees to an elegant but ultimately doomed idea—having machines learn, as humans and animals do, from experience. Decades on, ...
ChatGPT and other AI tools are upending our digital lives, but our AI interactions are about to get physical. Humanoid robots trained with a particular type of AI to sense and react to their world ...
Abstract: Time delay and image quality degradation are main challenges faced by streaming video transmission. How to make adaptive planning for transmission schemes according to dynamic change of ...
A social media account features smiley toddlers, while also offering positive lessons about child development. By Dana Goldstein Is it possible that on X — the social media site formerly known as ...
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