Clark Zhang

According to our database, Clark Zhang authored at least 12 papers between 2017 and 2021.

Collaborative distances:

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

2021

Sufficiently Accurate Model Learning for Planning.

Clark Zhang, Santiago Paternain, Alejandro Ribeiro

CoRR, 2021

2020

Sufficiently Accurate Model Learning.

Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Learning Optimal Resource Allocations in Wireless Systems.

Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro

IEEE Trans. Signal Process., 2019

Learning Task Agnostic Sufficiently Accurate Models.

Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro

CoRR, 2019

Assumed Density Filtering Q-learning.

Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Online Continuous Mapping using Gaussian Process Implicit Surfaces.

Bhoram Lee, Clark Zhang, Zonghao Huang, Daniel D. Lee

Proceedings of the International Conference on Robotics and Automation, 2019

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems.

Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients.

Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro

CoRR, 2018

Learning Implicit Sampling Distributions for Motion Planning.

Clark Zhang, Jinwook Huh, Daniel D. Lee

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Memory Augmented Control Networks.

Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee

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

Online Deep Learning in Wireless Communication Systems.

Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro

Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017

End-to-End Navigation in Unknown Environments using Neural Networks.

Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar

CoRR, 2017