Yunshu Du

According to our database, Yunshu Du authored at least 9 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

The Trajectory Alignment Coefficient in Two Acts: From Reward Tuning to Reward Learning.

Calarina Muslimani, Yunshu Du, Kenta Kawamoto, Kaushik Subramanian, Peter Stone, Peter R. Wurman

CoRR, January, 2026

2022

Lucid dreaming for experience replay: refreshing past states with the current policy.

Yunshu Du, Garrett Warnell, Assefaw H. Gebremedhin, Peter Stone, Matthew E. Taylor

Neural Comput. Appl., 2022

2021

Transfer in Deep Reinforcement Learning: How an Agent can Leverage Knowledge from Another Agent, a Human, or Itself.

Yunshu Du

PhD thesis, 2021

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

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

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

Improving Deep Reinforcement Learning via Transfer.

Yunshu Du

Proceedings of the 18th International Conference on Autonomous Agents and MultiAgent Systems, 2019

2018

Adapting Auxiliary Losses Using Gradient Similarity.

Yunshu Du, Wojciech M. Czarnecki, Siddhant M. Jayakumar, Razvan Pascanu, Balaji Lakshminarayanan

CoRR, 2018

2017

Pre-training Neural Networks with Human Demonstrations for Deep Reinforcement Learning.

Gabriel Victor de la Cruz, Yunshu Du, Matthew E. Taylor

CoRR, 2017