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Risk-Averse Decision Making Under Uncertainty
In this paper, we consider the problem of designing policies for MDPs and POMDPs with objectives and constraints in terms of dynamic coherent risk measures, which we refer to as the constrained risk-averse problem.
Constrained Risk-Averse Markov Decision Processes
We consider the problem of designing policies for Markov decision processes (MDPs) with dynamic coherent risk objectives and constraints.
Partially Observable Games for Secure Autonomy
Technology development efforts in autonomy and cyber-defense have been evolving independently of each other, over the past decade.
Risk-Averse Planning Under Uncertainty
We consider the problem of designing policies for partially observable Markov decision processes (POMDPs) with dynamic coherent risk objectives.
