Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help - researchr publication authors

researchr

You are not signed in
Sign in
Sign up

Nazia Alam, Behrooz Mostafavi, Min Chi, Tiffany Barnes. Exploring the Effect of Autoencoder Based Feature Learning for a Deep Reinforcement Learning Policy for Providing Proactive Help. In Ning Wang 0023, Genaro Rebolledo-Mendez, Vania Dimitrova, Noboru Matsuda, Olga C. Santos, editors, Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky - 24th International Conference, AIED 2023, Tokyo, Japan, July 3-7, 2023, Proceedings. Volume 1831 of Communications in Computer and Information Science, pages 278-283, Springer, 2023. [doi]

This author has not been identified. Look up 'Nazia Alam' in GoogleThis author has not been identified. Look up 'Behrooz Mostafavi' in GoogleThis author has not been identified. Look up 'Min Chi' in GoogleThis author has not been identified. Look up 'Tiffany Barnes' in Google

runs on WebDSL