Deep Reinforcement Learning for  Interactive Systems and Robots image

Deep Reinforcement Learning for Interactive Systems and Robots

October 11th 2017 10:45 - 11:00
Room C

Deep Reinforcement Learning (DRL) dialogue systems are attractive because they can jointly learn their feature representations and policies without manual feature engineering, but its successful application to real-world applications is not so straightforward. This talk will review steps already taken in this direction by reviewing recent research work on DRL-based spoken dialogue systems and DRL-based conversational robots. This talk will conclude with future potential work in academia and beyond.

Heriberto Cuayahuitl avatar
Heriberto Cuayahuitl

Senior Lecturer in Computer Science in the College of Science at the University of Lincoln: https://www.lincoln.ac.uk/home/ and Member of the Lincoln Centre for Autonomous Systems: https://lcas.lincoln.ac.uk/wp/ (L-CAS). 

Heriberto Cuayahuitl received a PhD from the University of Edinburgh in 20...

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