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20232026
most citedA Reinforcement Learning Environment for Automatic Code Optimization in the MLIR Compiler

2 citations · 2 across the 4 of their papers we have counts for

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cs.LG2026

Behavioral Foundation Models for Quality Diversity

Nazim Bendib, Nicolas Perrin-Gilbert, Olivier Sigaud

Behavioral Foundation Models (BFMs) are an emerging paradigm in reinforcement learning, playing a role analogous to large language models in natural language processing: they have…

cs.AI2026

Improving Zero-Shot Offline RL via Behavioral Task Sampling

Nazim Bendib, Nicolas Perrin-Gilbert, Olivier Sigaud

Offline zero-shot reinforcement learning (RL) aims to learn agents that optimize unseen reward functions without additional environment interaction. The standard approach to this p…