Search Results for author: Herman A. Engelbrecht

Found 7 papers, 5 papers with code

Towards Learning to Speak and Hear Through Multi-Agent Communication over a Continuous Acoustic Channel

no code implementations4 Nov 2021 Kevin Eloff, Arnu Pretorius, Okko Räsänen, Herman A. Engelbrecht, Herman Kamper

The Speaker is equipped with a vocoder that maps symbols to a continuous waveform, this is passed over a lossy continuous channel, and the Listener needs to map the continuous signal to the concept.

Multi-agent Reinforcement Learning Q-Learning +1

Toward Collaborative Reinforcement Learning Agents that Communicate Through Text-Based Natural Language

1 code implementation20 Jul 2021 Kevin Eloff, Herman A. Engelbrecht

We test the ability of reinforcement learning agents to effectively communicate through discrete word-level symbols and show that the agents are able to sufficiently communicate through natural language with a limited vocabulary.

Navigate reinforcement-learning

Learning the Subsystem of Local Planning for Autonomous Racing

2 code implementations22 Feb 2021 Benjamin Evans, Hendrik W. Jordaan, Herman A. Engelbrecht

We approach the autonomous racing problem with the added constraint of not maintaining an updated obstacle map of the environment.


Unsupervised feature learning for speech using correspondence and Siamese networks

no code implementations28 Mar 2020 Petri-Johan Last, Herman A. Engelbrecht, Herman Kamper

Dynamic programming is then used to align the feature frames between each word pair, serving as weak top-down supervision for the two models.

Deep motion estimation for parallel inter-frame prediction in video compression

1 code implementation11 Dec 2019 André Nortje, Herman A. Engelbrecht, Herman Kamper

Standard video codecs rely on optical flow to guide inter-frame prediction: pixels from reference frames are moved via motion vectors to predict target video frames.

Motion Estimation Optical Flow Estimation +1

BINet: a binary inpainting network for deep patch-based image compression

1 code implementation11 Dec 2019 André Nortje, Willie Brink, Herman A. Engelbrecht, Herman Kamper

We propose the Binary Inpainting Network (BINet), an autoencoder framework which incorporates binary inpainting to reinstate interdependencies between adjacent patches, for improved patch-based compression of still images.

Image Compression

Multimodal One-Shot Learning of Speech and Images

2 code implementations9 Nov 2018 Ryan Eloff, Herman A. Engelbrecht, Herman Kamper

Imagine a robot is shown new concepts visually together with spoken tags, e. g. "milk", "eggs", "butter".

Dynamic Time Warping One-Shot Learning

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