Liaw, Richard

RLlib: Abstractions for Distributed Reinforcement Learning

Liang, E., Liaw, R., Moritz, P., Nishihara, R., Fox, R., Goldberg, K., Gonzalez, J. E., Jordan, M. I., & Stoica, I. (2017) · arXiv

Reinforcement Learning in RoboticsParallel Computing and Optimization Techniques

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Real-Time Machine Learning: The Missing Pieces

Nishihara, R., Moritz, P., Wang, S., Tumanov, A., Paul, W., Schleier-Smith, J., Liaw, R., Niknami, M., Jordan, M. I., & Stoica, I. (2017) · Proceedings of the 16th Workshop on Hot Topics in Operating Systems

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

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SkyRL-Agent: Efficient RL Training for Multi-turn LLM Agent

Cao, S., Li, D., Zhao, F., Yuan, S., Hegde, S. R., Chen, C., Ruan, C., Griggs, T., Liu, S., Tang, E., et al. (2025) · arXiv

Software Engineering ResearchReinforcement Learning in Robotics

Cited by 0