Portrait de Francois Rivest

Francois Rivest

Membre affilié
Royal Military College of Canada
Sujets de recherche
Apprentissage continu
Apprentissage de représentations
Apprentissage en ligne
Apprentissage par renforcement
IA inspirée du cerveau
Neurosciences computationnelles
Réseaux de neurones récurrents
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LinkedIn

Publications

Squeezing More from the Stream : Learning Representation Online for Streaming Reinforcement Learning
Nilaksh
Antoine Clavaud
Mathieu Reymond
Francois Rivest
Sarath Chandar
In streaming Reinforcement Learning (RL), transitions are observed and discarded immediately after a single update. While this minimizes res… (voir plus)ource usage for on-device applications, it makes agents notoriously sample-inefficient, since value-based losses alone struggle to extract meaningful representations from transient data. We propose extending Self-Predictive Representations (SPR) to the streaming pipeline to maximize the utility of every observed frame. However, due to the highly correlated samples induced by the streaming regime, naively applying this auxiliary loss results in training instabilities. Thus, we introduce orthogonal gradient updates relative to the momentum target and resolve gradient conflicts arising from streaming-specific optimizers. Validated across the Atari, MinAtar, and Octax suites, our approach systematically outperforms existing streaming baselines. Latent-space analysis, including t-SNE visualizations and effective-rank measurements, confirms that our method learns significantly richer representations, bridging the performance gap caused by the absence of a replay buffer, while remaining efficient enough to train on just a few CPU cores.
2025-12-31
International Conference on Machine Learning (Accept (regular))
doi.org
openreview.net