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Found 5 papers, 1 papers with code
Real-time Animation Generation and Control on Rigged Models via Large Language Models
We introduce a novel method for real-time animation control and generation on rigged models using natural language input.
LLMR: Real-time Prompting of Interactive Worlds using Large Language Models
We present Large Language Model for Mixed Reality (LLMR), a framework for the real-time creation and modification of interactive Mixed Reality experiences using LLMs.
Dual policy as self-model for planning
In such dual-policy agents, a model-free policy and a distilled policy are used for model-free actions and planned actions, respectively.
Distribution of Classification Margins: Are All Data Equal?
Recent theoretical results show that gradient descent on deep neural networks under exponential loss functions locally maximizes classification margin, which is equivalent to minimizing the norm of the weight matrices under margin constraints.
Theory III: Dynamics and Generalization in Deep Networks
In particular, gradient descent induces a dynamics of the normalized weights which converge for $t \to \infty$ to an equilibrium which corresponds to a minimum norm (or maximum margin) solution.
