no code implementations • 28 Feb 2024 • Hai Nguyen, Tadashi Kozuno, Cristian C. Beltran-Hernandez, Masashi Hamaya
This study tackles the representative yet challenging contact-rich peg-in-hole task of robotic assembly, using a soft wrist that can operate more safely and tolerate lower-frequency control signals than a rigid one.
no code implementations • 22 Jul 2023 • Hai Nguyen, Sammie Katt, Yuchen Xiao, Christopher Amato
Bayesian reinforcement learning (BRL), thanks to its sample efficiency and ability to exploit prior knowledge, is uniquely positioned as such a solution method.
1 code implementation • 3 Nov 2022 • Hai Nguyen, Andrea Baisero, Dian Wang, Christopher Amato, Robert Platt
Reinforcement learning in partially observable domains is challenging due to the lack of observable state information.
Partially Observable Reinforcement Learning reinforcement-learning +1
1 code implementation • 3 Sep 2022 • Thanh Tin Nguyen, Long H. Nguyen, Nhat Truong Pham, Liu Tai Nguyen, Van Huong Do, Hai Nguyen, Ngoc Duy Nguyen
This study presents our approach on the automatic Vietnamese image captioning for healthcare domain in text processing tasks of Vietnamese Language and Speech Processing (VLSP) Challenge 2021, as shown in Figure 1.
no code implementations • 17 Feb 2022 • Sammie Katt, Hai Nguyen, Frans A. Oliehoek, Christopher Amato
Under this parameterization, in contrast to previous work, the belief over the state and dynamics is a more scalable inference problem.
1 code implementation • 25 Oct 2021 • Zhihan Yang, Hai Nguyen
When the environment is partially observable (PO), a deep reinforcement learning (RL) agent must learn a suitable temporal representation of the entire history in addition to a strategy to control.
no code implementations • 6 Sep 2021 • Long H. Nguyen, Nhat Truong Pham, Van Huong Do, Liu Tai Nguyen, Thanh Tin Nguyen, Van Dung Do, Hai Nguyen, Ngoc Duy Nguyen
Specifically, we convert sounds into Log-Mel Spectrograms and use the EfficientNet-V2 network to extract its visual features in the first stage.
1 code implementation • 19 Oct 2020 • Hai Nguyen, Brett Daley, Xinchao Song, Christopher Amato, Robert Platt
Many important robotics problems are partially observable in the sense that a single visual or force-feedback measurement is insufficient to reconstruct the state.
no code implementations • 27 Feb 2020 • Ngoc Duy Nguyen, Thanh Thi Nguyen, Hai Nguyen, Doug Creighton, Saeid Nahavandi
However, development of a deep RL-based system is challenging because of various issues such as the selection of a suitable deep RL algorithm, its network configuration, training time, training methods, and so on.
2 code implementations • 19 Feb 2019 • Adarsh Sehgal, Hung Manh La, Sushil J. Louis, Hai Nguyen
Reinforcement learning (RL) enables agents to take decision based on a reward function.
1 code implementation • 16 Sep 2018 • Hai Nguyen, Hung Manh La, Matthew Deans
One of the reasons that human are better learners in these tasks is that we are embedded with much prior knowledge of the world.
Robotics
1 code implementation • 28 Nov 2017 • Hai Nguyen, Shin-ichi Maeda, Kenta Oono
With the rapid increase of compound databases available in medicinal and material science, there is a growing need for learning representations of molecules in a semi-supervised manner.