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A single EEG decoding architecture, DSAINet, achieves state-of-the-art generalizability across diverse tasks and datasets without task-specific tuning, despite having only 77K parameters.
Quadruped robots can now learn to navigate complex, real-world environments in minutes, not hours, thanks to a new RL framework that prioritizes safety and efficient exploration.
