Search Results for author: Jun Jet Tai

Found 3 papers, 2 papers with code

Some Supervision Required: Incorporating Oracle Policies in Reinforcement Learning via Epistemic Uncertainty Metrics

no code implementations22 Aug 2022 Jun Jet Tai, Jordan K. Terry, Mauro S. Innocente, James Brusey, Nadjim Horri

In the case of using an oracle policy, it can be unclear how best to incorporate the oracle policy's experience into the learning policy in a way that maximizes learning sample efficiency.

reinforcement-learning Reinforcement Learning (RL)

FasteNet: A Fast Railway Fastener Detector

1 code implementation14 Dec 2020 Jun Jet Tai, Mauro S. Innocente, Owais Mehmood

In this work, a novel high-speed railway fastener detector is introduced.

BOBBY2: Buffer Based Robust High-Speed Object Tracking

1 code implementation18 Oct 2019 Keifer Lee, Jun Jet Tai, Swee King Phang

As for training, an augmented ImageNet-VID dataset was used in conjunction with the one cycle policy, enabling it to reach convergence with less than 2 epoch worth of data.

Object Object Tracking +2

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