Your work will focus on how large-scale AI models can acquire robust, generalizable, and goal-directed behaviors through reinforcement learning, multimodal experience, and interaction with learned or simulated environments. * Your work will bridge foundational research and practical implementation, and will contribute to the design of architectures that connect representation learning, latent dynamics modeling, reinforcement learning, and large-scale behavior modeling. + training large-scale behavior or policy models from multimodal data and interaction + experience with large-scale deep learning and transformer-based or multimodal models
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