AgentGraph: Towards Universal Dialogue Management with Structured Deep Reinforcement Learning

no code implementations • 27 May 2019 • Lu Chen, Zhi Chen, Bowen Tan, Sishan Long, Milica Gasic, Kai Yu

Experiments show that AgentGraph models significantly outperform traditional reinforcement learning approaches on most of the 18 tasks of the PyDial benchmark.

Deep Reinforcement Learning Dialogue Management +5

Structured Dialogue Policy with Graph Neural Networks

no code implementations • COLING 2018 • Lu Chen, Bowen Tan, Sishan Long, Kai Yu

The proposed structured deep reinforcement learning is based on graph neural networks (GNN), which consists of some sub-networks, each one for a node on a directed graph.

Automatic Speech Recognition (ASR) Decision Making +6