3 papers
cs.CL2020
Exploring Fluent Query Reformulations with Text-to-Text Transformers and Reinforcement Learning
Jerry Zikun Chen, Shi Yu, Haoran Wang
Query reformulation aims to alter noisy or ambiguous text sequences into coherent ones closer to natural language questions. This is to prevent errors from propagating in a client-…
cs.CL2020
Neural Machine Translation with Monte-Carlo Tree Search
Jerrod Parker, Jerry Zikun Chen
Recent algorithms in machine translation have included a value network to assist the policy network when deciding which word to output at each step of the translation. The addition…
cs.LG2020
Reinforcement Learning Generalization with Surprise Minimization
Jerry Zikun Chen
Generalization remains a challenging problem for deep reinforcement learning algorithms, which are often trained and tested on the same set of deterministic game environments. When…