Multi-Policy Dialogue Management
نویسنده
چکیده
We present a new approach to dialogue management based on the use of multiple, interconnected policies. Instead of capturing the complexity of the interaction in a single large policy, the dialogue manager operates with a collection of small local policies combined concurrently and hierarchically. The metacontrol of these policies relies on an activation vector updated before and after each turn.
منابع مشابه
Modeling Lateral Communication in Holonic Multi Agent Systems
Agents, in a multi agent system, communicate with each other through the process of exchanging messages which is called dialogue. Multi agent organization is generally used to optimize agents’ communications. Holonic organization demonstrates a self-similar recursive and hierarchical structure in which each holon may include some other holons. In a holonic system, lateral communication occurs b...
متن کاملDialogue Management based on Multi-domain Corpus
Dialogue Management (DM) is a key issue in Spoken Dialogue System. Most of the existing data-driven DM schemes train the dialogue policy for some specific domain (or vertical domain), only using the dialogue corpus in this domain, which might suffer from the scarcity of dialogue corpus in some domains. In this paper, we divide Dialogue Act (DA), as semantic representation of utterance, into DA ...
متن کاملSub-domain Modelling for Dialogue Management with Hierarchical Reinforcement Learning
Human conversation is inherently complex, often spanning many different topics/domains. This makes policy learning for dialogue systems very challenging. Standard flat reinforcement learning methods do not provide an efficient framework for modelling such dialogues. In this paper, we focus on the under-explored problem of multi-domain dialogue management. First, we propose a new method for hier...
متن کاملReward-Balancing for Statistical Spoken Dialogue Systems using Multi-objective Reinforcement Learning
Reinforcement learning is widely used for dialogue policy optimization where the reward function often consists of more than one component, e.g., the dialogue success and the dialogue length. In this work, we propose a structured method for finding a good balance between these components by searching for the optimal reward component weighting. To render this search feasible, we use multi-object...
متن کاملPromoting Evidence to Policy Link on the Control of Infectious Diseases of Poverty in Nigeria: Outcome of A Multi-Stakeholders Policy Dialogue.
BACKGROUND In Nigeria, malaria, schistosomiasis and lymphatic filariasis are among infectious diseases of poverty (IDP) with severe health burden and require effective policy strategies for their control. In this study, we investigated the value of policy brief and policy dialogue as excellent policymaking mechanisms that enable policymakers to adapt effective evidence informed policy for IDP c...
متن کامل