Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning. - Gabriel Victor de la Cruz; Yunshu Du; Matthew E. Taylor (CoRR, 2017)

Adapting Auxiliary Losses Using Gradient Similarity. - Yunshu Du; Wojciech M. Czarnecki; Siddhant M. Jayakumar; Razvan Pascanu; Balaji Lakshminarayanan (CoRR, 2018)

Improving Deep Reinforcement Learning via Transfer. - Yunshu Du (AAMAS, 2019)

Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning. - Gabriel Victor de la Cruz; Yunshu Du; Matthew E. Taylor (CoRR, 2019)

Pre-training with non-expert human demonstration for deep reinforcement learning. - Gabriel Victor de la Cruz; Yunshu Du; Matthew E. Taylor (Knowl. Eng. Rev., 2019)

Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction. - Yunshu Du; Assefaw H. Gebremedhin; Matthew E. Taylor (IEEE Trans. Knowl. Data Eng., 2019)

Lucid dreaming for experience replay: refreshing past states with the current policy. - Yunshu Du; Garrett Warnell; Assefaw H. Gebremedhin; Peter Stone 001; Matthew E. Taylor (Neural Comput. Appl., 2022)