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Found 4 papers, 2 papers with code
Establishing Shared Query Understanding in an Open Multi-Agent System
Furthermore, we demonstrate a use-case where our method can be applied for the task of cooperative query answering.
Leveraging class abstraction for commonsense reinforcement learning via residual policy gradient methods
Enabling reinforcement learning (RL) agents to leverage a knowledge base while learning from experience promises to advance RL in knowledge intensive domains.
Local Explanations for Clinical Search Engine results
In this paper, a model-agnostic explainable method is developed to provide users with further information regarding the reasons why a clinical trial is retrieved in response to a query.
A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling
As the first robotic platforms slowly approach our everyday life, we can imagine a near future where service robots will be easily accessible by non-expert users through vocal interfaces.
