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05/05/2023
Context-triggered Abstraction-based Control Design
We consider the problem of automatically synthesizing a hybrid controlle...
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08/24/2022
A model-based approach to meta-Reinforcement Learning: Transformers and tree search
Meta-learning is a line of research that develops the ability to leverag...
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10/15/2021
Optimal Resource Scheduling and Allocation in Distributed Computing Systems
The essence of distributed computing systems is how to schedule incoming...
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03/23/2021
PAC-learning gains of Turing machines over circuits and neural networks
A caveat to many applications of the current Deep Learning approach is t...
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03/25/2019
