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cs.LG2025
Multiple-Frequencies Population-Based Training
Waël Doulazmi, Auguste Lehuger, Marin Toromanoff +3
Reinforcement Learning's high sensitivity to hyperparameters is a source of instability and inefficiency, creating significant challenges for practitioners. Hyperparameter Optimiza…
cs.LG2025
V-Max: A Reinforcement Learning Framework for Autonomous Driving
Valentin Charraut, Waël Doulazmi, Thomas Tournaire +1
Learning-based decision-making has the potential to enable generalizable Autonomous Driving (AD) policies, reducing the engineering overhead of rule-based approaches. Imitation Lea…