arXiv Machine Learning By Matthew Vandergrift, Esraa Elelimy, Martha White

Position: RL Researchers Need to Distinguish Between Solving Simulators and Using Simulators as a Proxy

Read the original on arXiv Machine Learning →

arXiv:2606. 28433v1 Announce Type: new Abstract: One goal in reinforcement learning (RL) research is to understand general-purpose sequential decision-making, using benchmark simulators as a proxy for learning in deployment settings.

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arXiv Machine Learning
Jul 14

Reinforcement Learning in the Real World: A Survey of Statistical Challenges and Future Directions

arXiv:2601. 15353v2 Announce Type: replace-cross Abstract: Reinforcement learning (RL) has achieved remarkable success in real-world decision-making across diverse domains, including gaming, robotics, online advertising, public health, and natural language processing.

By Asim H. Gazi, Yongyi Guo, Daiqi Gao, Ziping Xu, Kelly W. Zhang, Susan A. Murphy