Search Results for author: Marie-Paule Cani

Found 6 papers, 3 papers with code

UGAE: A Novel Approach to Non-exponential Discounting

no code implementations11 Feb 2023 Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

We also show experimentally that agents with non-exponential discounting trained via UGAE outperform variants trained with Monte Carlo advantage estimation.

Understanding reinforcement learned crowds

1 code implementation19 Sep 2022 Ariel Kwiatkowski, Vicky Kalogeiton, Julien Pettré, Marie-Paule Cani

Each of these choices has a significant, and potentially nontrivial impact on the results, and so researchers should be mindful about choosing and reporting them in their work.

A Survey on Reinforcement Learning Methods in Character Animation

no code implementations7 Mar 2022 Ariel Kwiatkowski, Eduardo Alvarado, Vicky Kalogeiton, C. Karen Liu, Julien Pettré, Michiel Van de Panne, Marie-Paule Cani

Reinforcement Learning is an area of Machine Learning focused on how agents can be trained to make sequential decisions, and achieve a particular goal within an arbitrary environment.

reinforcement-learning Reinforcement Learning (RL)

Multiple Style Transfer via Variational AutoEncoder

1 code implementation13 Oct 2021 Zhi-Song Liu, Vicky Kalogeiton, Marie-Paule Cani

Modern works on style transfer focus on transferring style from a single image.

Style Transfer

Unsupervised Real Image Super-Resolution via Generative Variational AutoEncoder

1 code implementation27 Apr 2020 Zhi-Song Liu, Wan-Chi Siu, Li-Wen Wang, Chu-Tak Li, Marie-Paule Cani, Yui-Lam Chan

Depending upon whether using a discriminator or not, a deep convolutional neural network can provide an image with high fidelity or better perceptual quality.

Image Denoising Image Super-Resolution

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