To Combine or Not To Combine? A Rainbow Deep Reinforcement Learning Agent for Dialog Policies

no code implementations • WS 2019 • Dirk V{\"a}th, Ngoc Thang Vu

In this paper, we explore state-of-the-art deep reinforcement learning methods for dialog policy training such as prioritized experience replay, double deep Q-Networks, dueling network architectures and distributional learning.

reinforcement-learning Reinforcement Learning (RL)

ADVISER: A Dialog System Framework for Education \& Research

no code implementations • ACL 2019 • Daniel Ortega, Dirk V{\"a}th, Gianna Weber, V, Lindsey erlyn, Maximilian Schmidt, Moritz V{\"o}lkel, Zorica Karacevic, Ngoc Thang Vu

In this paper, we present ADVISER - an open source dialog system framework for education and research purposes.