Abstract: The prevailing reinforcement-learning-based traffic signal control methods are typically staging-optimizable or duration-optimizable, depending on the action spaces. In this paper, we use ...
Abstract: While reinforcement learning (RL) achieves tremendous success in sequential decision-making problems of many domains, it still faces key challenges of data inefficiency and the lack of ...
This project contains the source code and data for the paper titled "Dense reinforcement learning for safety validation of autonomous vehicles". Feng, S., Sun, H ...
Aleesha Grier, PsyD, is a clinical psychologist in private practice and an assistant clinical professor at the Yale School of Medicine. Operant conditioning uses rewards and punishments to change ...
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