Huang, Shengyi

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Huang, S., & Ontañón, S. (2022) · The International FLAIRS Conference Proceedings

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 435

CleanRL: High-quality Single-file Implementations of Deep Reinforcement Learning Algorithms

Huang, S., Dossa, R. F. J., Ye, C., & Braga, J. (2021) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 116

TÜLU 3: Pushing Frontiers in Open Language Model Post-Training

Lambert, N., Morrison, J., Pyatkin, V., Huang, S., Ivison, H., Brahman, F., Miranda, L. J. V., Liu, A., Dziri, N., Lyu, S., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 12

Generalizing Verifiable Instruction Following

Pyatkin, V., Malik, S., Graf, V., Ivison, H., Huang, S., Dasigi, P., Lambert, N., & Hajishirzi, H. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 4

2 OLMo 2 Furious

OLMo, T., Walsh, P., Soldaini, L., Groeneveld, D., Lo, K., Arora, S., Bhagia, A., Gu, Y., Huang, S., Jordan, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 2