Clark Zhang

Publication Activity (10 Years)

Years Active: 2017-2021
Publications (10 Years): 15

Top Topics

Wireless Communication

Reinforcement Learning

Sufficiently Accurate

Hyperparameters

Top Venues

IEEE Trans. Signal Process.

Publications

Clark Zhang, Santiago Paternain, Alejandro Ribeiro
Sufficiently Accurate Model Learning for Planning. CoRR (2021)
Clark Zhang, Arbaaz Khan, Santiago Paternain, Alejandro Ribeiro
Sufficiently Accurate Model Learning. ICRA (2020)
Clark Zhang, Arbaaz Khan, Santiago Paternain, Vijay Kumar, Alejandro Ribeiro
Learning Task Agnostic Sufficiently Accurate Models. CoRR (2019)
Heejin Jeong, Clark Zhang, George J. Pappas, Daniel D. Lee
Assumed Density Filtering Q-learning. IJCAI (2019)
Bhoram Lee, Clark Zhang, Zonghao Huang, Daniel D. Lee
Online Continuous Mapping using Gaussian Process Implicit Surfaces. ICRA (2019)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Learning Optimal Resource Allocations in Wireless Systems. IEEE Trans. Signal Process. 67 (10) (2019)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. ICASSP (2019)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
Memory Augmented Control Networks. ICLR (Poster) (2018)
Arbaaz Khan, Clark Zhang, Daniel D. Lee, Vijay Kumar, Alejandro Ribeiro
Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. CoRR (2018)
Clark Zhang, Jinwook Huh, Daniel D. Lee
Learning Implicit Sampling Distributions for Motion Planning. CoRR (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Learning Optimal Resource Allocations in Wireless Systems. CoRR (2018)
Mark Eisen, Clark Zhang, Luiz F. O. Chamon, Daniel D. Lee, Alejandro Ribeiro
Online Deep Learning in Wireless Communication Systems. ACSSC (2018)
Clark Zhang, Jinwook Huh, Daniel D. Lee
Learning Implicit Sampling Distributions for Motion Planning. IROS (2018)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Daniel D. Lee, Vijay Kumar
End-to-End Navigation in Unknown Environments using Neural Networks. CoRR (2017)
Arbaaz Khan, Clark Zhang, Nikolay Atanasov, Konstantinos Karydis, Vijay Kumar, Daniel D. Lee
Memory Augmented Control Networks. CoRR (2017)