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Bilun Sun

2 accepted papers

2026

Discrete Compositional Generation via General Soft Operators and Robust Reinforcement Learning

ICLR 2026poster

A major bottleneck in scientific discovery consists of narrowing an exponentially large set of objects, such as proteins or molecules, to a small set of promising candidates with desirable properties. While this process can rely on expert knowledge, recent methods leverage reinforcement learning (RL…

Cited by 0SourceScholar
2024

Expected flow networks in stochastic environments and two-player zero-sum games

ICLR 2024poster

Generative flow networks (GFlowNets) are sequential sampling models trained to match a given distribution. GFlowNets have been successfully applied to various structured object generation tasks, sampling a diverse set of high-reward objects quickly. We propose expected flow networks (EFlowNets), whi…