80 citations · 88 across the 7 of their papers we have counts for
7 papers
Multi-Objective Algorithms for Learning Open-Ended Robotic Problems
Martin Robert, Simon Brodeur, Francois Ferland
Quadrupedal locomotion is a complex, open-ended problem vital to expanding autonomous vehicle reach. Traditional reinforcement learning approaches often fall short due to training…
AriEL: volume coding for sentence generation
Luca Celotti, Simon Brodeur, Jean Rouat
Mapping sequences of discrete data to a point in a continuous space makes it difficult to retrieve those sequences via random sampling. Mapping the input to a volume would make it…
Language coverage and generalization in RNN-based continuous sentence embeddings for interacting agents
Luca Celotti, Simon Brodeur, Jean Rouat
Continuous sentence embeddings using recurrent neural networks (RNNs), where variable-length sentences are encoded into fixed-dimensional vectors, are often the main building block…
Classification of auditory stimuli from EEG signals with a regulated recurrent neural network reservoir
Marc-Antoine Moinnereau, Thomas Brienne, Simon Brodeur +3
The use of electroencephalogram (EEG) as the main input signal in brain-machine interfaces has been widely proposed due to the non-invasive nature of the EEG. Here we are specifica…
CREATE: Multimodal Dataset for Unsupervised Learning, Generative Modeling and Prediction of Sensory Data from a Mobile Robot in Indoor Environments
Simon Brodeur, Simon Carrier, Jean Rouat
The CREATE database is composed of 14 hours of multimodal recordings from a mobile robotic platform based on the iRobot Create. The various sensors cover vision, audition, motors a…
HoME: a Household Multimodal Environment
Simon Brodeur, Ethan Perez, Ankesh Anand +6
We introduce HoME: a Household Multimodal Environment for artificial agents to learn from vision, audio, semantics, physics, and interaction with objects and other agents, all with…