RL

Adaptive Prior-Dependent Correction Enhanced Reinforcement Learning for Natural Language Generation

Natural language generation (NLG) is an important task with various applications like neural machine translation (NMT) and image captioning. Since deep-learning-based methods have issues of exposure bias and loss inconsistency, reinforcement learning …

RLMob - Deep Reinforcement Learning for Successive Mobility Prediction

Human mobility prediction is an important task in the field of spatiotemporal sequential data mining and urban computing. Despite the extensive work on mining human mobility behavior, little attention was paid to the problem of successive mobility …

Match Plan Generation in Web Search with Parameterized Action Reinforcement Learning

To achieve good result quality and short query response time, search engines use specific match plans on Inverted Index to help retrieve a small set of relevant documents from billions of web pages. A match plan is composed of a sequence of match …