Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Glanois, Claire"'
Autor:
Nisioti, Eleni, Glanois, Claire, Najarro, Elias, Dai, Andrew, Meyerson, Elliot, Pedersen, Joachim Winther, Teodorescu, Laetitia, Hayes, Conor F., Sudhakaran, Shyam, Risi, Sebastian
Large Language Models (LLMs) have taken the field of AI by storm, but their adoption in the field of Artificial Life (ALife) has been, so far, relatively reserved. In this work we investigate the potential synergies between LLMs and ALife, drawing on
Externí odkaz:
http://arxiv.org/abs/2407.09502
Autor:
Sudhakaran, Shyam, González-Duque, Miguel, Glanois, Claire, Freiberger, Matthias, Najarro, Elias, Risi, Sebastian
Procedural Content Generation (PCG) is a technique to generate complex and diverse environments in an automated way. However, while generating content with PCG methods is often straightforward, generating meaningful content that reflects specific int
Externí odkaz:
http://arxiv.org/abs/2302.05981
In contrast to deep reinforcement learning agents, biological neural networks are grown through a self-organized developmental process. Here we propose a new hypernetwork approach to grow artificial neural networks based on neural cellular automata (
Externí odkaz:
http://arxiv.org/abs/2204.11674
Autor:
Glanois, Claire, Feng, Xuening, Jiang, Zhaohui, Weng, Paul, Zimmer, Matthieu, Li, Dong, Liu, Wulong
We propose an efficient interpretable neuro-symbolic model to solve Inductive Logic Programming (ILP) problems. In this model, which is built from a set of meta-rules organised in a hierarchical structure, first-order rules are invented by learning e
Externí odkaz:
http://arxiv.org/abs/2112.13418
Autor:
Glanois, Claire, Weng, Paul, Zimmer, Matthieu, Li, Dong, Yang, Tianpei, Hao, Jianye, Liu, Wulong
Although deep reinforcement learning has become a promising machine learning approach for sequential decision-making problems, it is still not mature enough for high-stake domains such as autonomous driving or medical applications. In such contexts,
Externí odkaz:
http://arxiv.org/abs/2112.13112
Autor:
Sudhakaran, Shyam, Grbic, Djordje, Li, Siyan, Katona, Adam, Najarro, Elias, Glanois, Claire, Risi, Sebastian
Publikováno v:
Proceedings of the 2021 Conference on Artificial Life (ALIFE 2021)
Neural Cellular Automata (NCAs) have been proven effective in simulating morphogenetic processes, the continuous construction of complex structures from very few starting cells. Recent developments in NCAs lie in the 2D domain, namely reconstructing
Externí odkaz:
http://arxiv.org/abs/2103.08737
Autor:
Zimmer, Matthieu, Feng, Xuening, Glanois, Claire, Jiang, Zhaohui, Zhang, Jianyi, Weng, Paul, Li, Dong, Hao, Jianye, Liu, Wulong
The integration of reasoning, learning, and decision-making is key to build more general artificial intelligence systems. As a step in this direction, we propose a novel neural-logic architecture, called differentiable logic machine (DLM), that can s
Externí odkaz:
http://arxiv.org/abs/2102.11529
We consider the problem of learning fair policies in (deep) cooperative multi-agent reinforcement learning (MARL). We formalize it in a principled way as the problem of optimizing a welfare function that explicitly encodes two important aspects of fa
Externí odkaz:
http://arxiv.org/abs/2012.09421
This paper introduces EvoCraft, a framework for Minecraft designed to study open-ended algorithms. We introduce an API that provides an open-source Python interface for communicating with Minecraft to place and track blocks. In contrast to previous w
Externí odkaz:
http://arxiv.org/abs/2012.04751
Autor:
Glanois, Claire
En s'inspirant du point de vue adopté par Francis Brown, nous examinons la structure d'algèbre de Hopf des multizêtas motiviques cyclotomiques, qui sont des périodes motiviques du groupoïde fondamental de la droite projective moins 0, l'infini e
Externí odkaz:
http://www.theses.fr/2016PA066013/document