Zhengxu Hou

Imperfect also Deserves Reward: Multi-Level and Sequential Reward Modeling for Better Dialog Management

For task-oriented dialog systems, training a Reinforcement Learning (RL) based Dialog Management module suffers from low sample efficiency and slow convergence speed due to the sparse rewards in RL. To solve this problem, many strategies have been proposed to give proper rewards when training RL, bu…