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07/31/2021
Inverse Reinforcement Learning for Strategy Identification
In adversarial environments, one side could gain an advantage by identif...
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07/02/2021
A Systems Theory of Transfer Learning
Existing frameworks for transfer learning are incomplete from a systems ...
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07/02/2021
Empirically Measuring Transfer Distance for System Design and Operation
Classical machine learning approaches are sensitive to non-stationarity....
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11/29/2020
Cyber-Physical Security Through Resiliency: A Systems-centric Approach
Cyber-physical systems (CPS) are often defended in the same manner as in...
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07/24/2020
Value-Decomposition Multi-Agent Actor-Critics
The exploitation of extra state information has been an active research ...
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06/09/2020
An Ontological Metamodel for Cyber-Physical System Safety, Security, and Resilience Coengineering
System complexity has become ubiquitous in the design, assessment, and i...
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04/01/2020
Counterfactual Multi-Agent Reinforcement Learning with Graph Convolution Communication
We consider a fully cooperative multi-agent system where agents cooperat...
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11/22/2019
Graph Convolution Networks for Probabilistic Modeling of Driving Acceleration
The ability to model and predict ego-vehicle's surrounding traffic is cr...
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06/26/2018
Multi-agent Inverse Reinforcement Learning for General-sum Stochastic Games
This paper addresses the problem of multi-agent inverse reinforcement le...
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03/25/2014