Search Results for author: Arwin Gansekoele

Found 3 papers, 0 papers with code

Robustly overfitting latents for flexible neural image compression

no code implementations31 Jan 2024 Yura Perugachi-Diaz, Arwin Gansekoele, Sandjai Bhulai

Finally, we show how refinement of the latents with our best-performing method improves the compression performance on the Tecnick dataset and how it can be deployed to partly move along the rate-distortion curve.

Decoder Image Compression

Learning to Request Guidance in Emergent Communication

no code implementations11 Dec 2019 Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni

Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent.

Imitation Learning

Learning to request guidance in emergent language

no code implementations WS 2019 Benjamin Kolb, Leon Lang, Henning Bartsch, Arwin Gansekoele, Raymond Koopmanschap, Leonardo Romor, David Speck, Mathijs Mul, Elia Bruni

Previous research into agent communication has shown that a pre-trained guide can speed up the learning process of an imitation learning agent.

Imitation Learning

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