Browsing by Subject "Multi-Agent Reinforcement Learning"
Now showing items 1-2 of 2
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A NEW ZEROTH-ORDER ORACLE FOR DISTRIBUTED AND NON-STATIONARY LEARNING
(2021)Zeroth-Order (ZO) methods have been applied to solve black-box or simulation-based optimization prroblems. These problems arise in many important applications nowa- days, e.g., generating adversarial attacks on machine learning ... -
Security and Synthesis Solutions for Digital Microfluidic Biochips
(2021)Considerable effort has been devoted in recent years to the design and implementation of digital microfluidic biochips (DMFBs) for biochemical analysis procedures, such as high-throughput DNA sequencing and point-of-care ...
