Yiming Zhang

According to our database, Yiming Zhang authored at least 9 papers between 2018 and 2022.

Collaborative distances:

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

2022

On-Policy Deep Reinforcement Learning - The Discounted and Average Reward Criteria.

Yiming Zhang

PhD thesis, 2022

2021

Aggressive Q-Learning with Ensembles: Achieving Both High Sample Efficiency and High Asymptotic Performance.

Yanqiu Wu, Xinyue Chen, Che Wang, Yiming Zhang, Zijian Zhou, Keith W. Ross

CoRR, 2021

On-Policy Deep Reinforcement Learning for the Average-Reward Criterion.

Yiming Zhang, Keith W. Ross

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Yiming Zhang, Quan Vuong, Keith W. Ross

CoRR, 2020

First Order Constrained Optimization in Policy Space.

Yiming Zhang, Quan Vuong, Keith W. Ross

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Supervised Policy Update for Deep Reinforcement Learning.

Quan Ho Vuong, Yiming Zhang, Keith W. Ross

Proceedings of the 7th International Conference on Learning Representations, 2019

2018

Efficient Entropy for Policy Gradient with Multidimensional Action Space.

Yiming Zhang, Quan Ho Vuong, Kenny Song, Xiao-Yue Gong, Keith W. Ross

CoRR, 2018

Supervised Policy Update.

Quan Ho Vuong, Yiming Zhang, Keith W. Ross

CoRR, 2018

Efficient Entropy For Policy Gradient with Multi-Dimensional Action Space.

Yiming Zhang, Quan Ho Vuong, Kenny Song, Xiao-Yue Gong, Keith W. Ross

Proceedings of the 6th International Conference on Learning Representations, 2018