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cs.LG2026
Geometry-Aware Reinforcement Learning for 2D Irregular Nesting
Auguste Lehuger, Guillaume Henon-Just
Traditional heuristic solvers for the 2D irregular nesting problem share a fundamental limitation: they are blind to polygon geometry, relying on guided brute-force to navigate the…
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.LG2021
Fixed -VAE Encoding for Curious Exploration in Complex 3D Environments
Auguste Lehuger, Matthew Crosby
Curiosity is a general method for augmenting an environment reward with an intrinsic reward, which encourages exploration and is especially useful in sparse reward settings. As cur…