End-to-End Navigation in Unknown Environments using Neural Networks. - Arbaaz Khan; Clark Zhang; Nikolay Atanasov 001; Konstantinos Karydis; Daniel D. Lee; Vijay Kumar 001 (CoRR, 2017)

Online Deep Learning in Wireless Communication Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ACSSC, 2018)

Memory Augmented Control Networks. - Arbaaz Khan; Clark Zhang; Nikolay Atanasov 001; Konstantinos Karydis; Vijay Kumar 001; Daniel D. Lee (ICLR (Poster), 2018)

Learning Implicit Sampling Distributions for Motion Planning. - Clark Zhang; Jinwook Huh; Daniel D. Lee (IROS, 2018)

Scalable Centralized Deep Multi-Agent Reinforcement Learning via Policy Gradients. - Arbaaz Khan; Clark Zhang; Daniel D. Lee; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 2018)

Dual Domain Learning of Optimal Resource Allocations in Wireless Systems. - Mark Eisen; Clark Zhang; Luiz F. O. Chamon; Daniel D. Lee; Alejandro Ribeiro (ICASSP, 2019)

Online Continuous Mapping using Gaussian Process Implicit Surfaces. - Bhoram Lee; Clark Zhang; Zonghao Huang; Daniel D. Lee (ICRA, 2019)

Assumed Density Filtering Q-learning. - Heejin Jeong; Clark Zhang; George J. Pappas; Daniel D. Lee (IJCAI, 2019)

Learning Task Agnostic Sufficiently Accurate Models. - Clark Zhang; Arbaaz Khan; Santiago Paternain; Vijay Kumar 001; Alejandro Ribeiro (CoRR, 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)

Sufficiently Accurate Model Learning. - Clark Zhang; Arbaaz Khan; Santiago Paternain; Alejandro Ribeiro (ICRA, 2020)

Sufficiently Accurate Model Learning for Planning. - Clark Zhang; Santiago Paternain; Alejandro Ribeiro (CoRR, 2021)