Yunshu Du

Publication Activity (10 Years)

Years Active: 2017-2022
Publications (10 Years): 9

Top Topics

Interesting Patterns

Reinforcement Learning

Top Venues

Knowl. Eng. Rev.

Neural Comput. Appl.

Publications

Yunshu Du, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor
Lucid dreaming for experience replay: refreshing past states with the current policy. Neural Comput. Appl. 34 (3) (2022)
Yunshu Du, Garrett Warnell, Assefaw Hadish Gebremedhin, Peter Stone, Matthew E. Taylor
Lucid Dreaming for Experience Replay: Refreshing Past States with the Current Policy. CoRR (2020)
Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor
Jointly Pre-training with Supervised, Autoencoder, and Value Losses for Deep Reinforcement Learning. CoRR (2019)
Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor
Pre-training with non-expert human demonstration for deep reinforcement learning. Knowl. Eng. Rev. 34 (2019)
Yunshu Du
Improving Deep Reinforcement Learning via Transfer. AAMAS (2019)
Yunshu Du, Assefaw H. Gebremedhin, Matthew E. Taylor
Analysis of University Fitness Center Data Uncovers Interesting Patterns, Enables Prediction. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor
Pre-training with Non-expert Human Demonstration for Deep Reinforcement Learning. CoRR (2018)
Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar, Razvan Pascanu, Balaji Lakshminarayanan
Adapting Auxiliary Losses Using Gradient Similarity. CoRR (2018)
Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor
Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning. CoRR (2017)