Belief-Grounded Networks for Accelerated Robot Learning under Partial Observability. - Hai Nguyen 001; Brett Daley; Xinchao Song 001; Christopher Amato; Robert Platt 001 (CoRL, 2020)

BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs. - Sammie Katt; Hai Nguyen 001; Frans A. Oliehoek; Christopher Amato (AAMAS, 2022)

Leveraging Fully Observable Policies for Learning under Partial Observability. - Hai Nguyen 001; Andrea Baisero; Dian Wang 001; Christopher Amato; Robert Platt 001 (CoRL, 2022)

Hierarchical Reinforcement Learning Under Mixed Observability. - Hai Nguyen 001; Zhihan Yang; Andrea Baisero; Xiao Ma; Robert Platt 001; Christopher Amato (WAFR, 2022)

Equivariant Reinforcement Learning under Partial Observability. - Hai Nguyen 001; Andrea Baisero; David Klee; Dian Wang 001; Robert Platt 001; Christopher Amato (CoRL, 2023)

On-Robot Bayesian Reinforcement Learning for POMDPs. - Hai Nguyen 001; Sammie Katt; Yuchen Xiao; Christopher Amato (IROS, 2023)