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Found 5 papers, 0 papers with code
Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
We introduce PACOH-RL, a novel model-based Meta-Reinforcement Learning (Meta-RL) algorithm designed to efficiently adapt control policies to changing dynamics.
User Intent Classification using Memory Networks: A Comparative Analysis for a Limited Data Scenario
Since the classifier is meant to serve as a module in a practical dialog system, it needs to be able to work with limited training data and incorporate new data on the fly.
Extending SROIQ with Constraint Networks and Grounded Circumscription
We describe the syntax and semantics of the logic formed by including constraint modelling constructs in SROIQ, and provide a sound, complete and terminating tableau algorithm for it.
GC-SROIQ(C) : Expressive Constraint Modelling and Grounded Circumscription for SROIQ
We extend the DL SROIQ with constraint networks and grounded circumscription.
