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Jesse van Remmerden

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#artificial intelligence Preprint Sep 2025

Generalizing Beyond Suboptimality: Offline Reinforcement Learning Learns Effective Scheduling through Random Solutions

Conservative Discrete Quantile Actor-Critic (CDQAC), an offline RL algorithm that learns effective scheduling policies directly from static, suboptimal datasets, and is highly sample efficient, requiring only 1 to 5% of the original dataset to learn high-quality policies.

Jesse van Remmerden, Z. Bukhsh, Ying-Qian Zhang · 0 citations