AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
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The use of the failure $n$-grams to retrieve text from the pretraining corpus and continue pretraining the base model on it before RL suggests that where RL fails is a cheap and effective signal for selecting pretraining data.
The Intelligent Robot Simulator is developed, a lightweight declarative simulator implemented as a Python library to support navigation learning and benchmarking through rapid construction of reusable and diverse scenarios and efficient execution on accessible platforms.
Shape-Aware Reinforcement Learned Model Predictive Control is proposed, a method for safe, efficient, and adaptive navigation in crowds with heterogeneous shapes without geometry simplification that preserves the safety structure and generalizability of MPC while integrating the adaptability and intelligence of RL.
SKILLFORGE is introduced, a framework that decomposes formal code synthesis into a library of atomic, reusable skills, each targeting a specific subtask such as specification inference, body synthesis, invariant generation, error diagnosis, or targeted repair, and defined by a prompt template, tool binding, and decidab...
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