Cellulan World: Interactive Platform to Learn Swarm Behaviors

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Modern computing has enhanced our understanding of how social interactions shape collective behaviour in animal societies. Although analytical models dominate in studying collective behaviour, this study introduces a deep learning model to assess social in ...

Distributed learning is the key for enabling training of modern large-scale machine learning models, through parallelising the learning process. Collaborative learning is essential for learning from privacy-sensitive data that is distributed across various ...

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In multi-agent reinforcement learning, multiple agents learn simultaneously while interacting with a common environment and each other. Since the agents adapt their policies during learning, not only the behavior of a single agent becomes non-stationary, b ...

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Cellulan World: Interactive Platform to Learn Swarm Behaviors

Chat with Graph Search

Predicting the long-term collective behaviour of fish pairs with deep learning

Optimization Algorithms for Decentralized, Distributed and Collaborative Machine Learning

Incorporating Projective Geometry into Deep Learning

Unveiling the complexity of learning and decision-making

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Social Opinion Formation and Decision Making Under Communication Trends

Human-Robot Swarm Interaction: An Explorative Path to Foster Complex Systems Understanding

Multi-agent reinforcement learning with graph convolutional neural networks for optimal bidding strategies of generation units in electricity markets

Multi-agent actor-critic with time dynamical opponent model

Work in progress: Imagining / Designing informal spaces for learning

Computationally Efficient Reinforcement Learning: Targeted Exploration leveraging Simple Rules

Learning From Heterogeneous Data Based on Social Interactions Over Graphs

Reinforcement learning approach to control an inverted pendulum: A general framework for educational purposes

Networked Signal and Information Processing: Learning by multiagent systems

The iReCheck project: using tablets and robots for personalised handwriting practice

Data-driven approaches for non-invasive cuffless blood pressure monitoring

Chèrex créaturex. Retours d’expériences sur un enseignement féministe queer dans une école polytechnique

Combining biophysical models and machine learning to optimize implant geometry and stimulation protocol for intraneural electrodes

On the Scalability of Vision-based Drone Swarms in the Presence of Occlusions

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school