19 citations · 31 across the 7 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
cs.RO2018
Intervention Aided Reinforcement Learning for Safe and Practical Policy Optimization in Navigation
Fan Wang, Bo Zhou, Ke Chen +5
Combining deep neural networks with reinforcement learning has shown great potential in the next-generation intelligent control. However, there are challenges in terms of safety an…
cs.LG2018
Transferable Positive/Negative Speech Emotion Recognition via Class-wise Adversarial Domain Adaptation
Hao Zhou, Ke Chen
Speech emotion recognition plays an important role in building more intelligent and human-like agents. Due to the difficulty of collecting speech emotional data, an increasingly po…
cs.LG2018
Learning to Play General Video-Games via an Object Embedding Network
William Woof, Ke Chen
Deep reinforcement learning (DRL) has proven to be an effective tool for creating general video-game AI. However most current DRL video-game agents learn end-to-end from the video-…