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Sequential Decision Making With Coherent Risk
IEEE Transactions on Automatic Control, 2017We provide sampling-based algorithms for optimization under a coherent-risk objective. The class of coherent-risk measures is widely accepted in finance and operations research, among other fields, and encompasses popular risk-measures such as conditional value at risk and mean-semi-deviation.
Aviv Tamar +3 more
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2014
As stated in chapter 1, net present value (NPV) decisions are made “technically” without any consideration of reevaluation in the future. The outflows and inflows are discounted, and the NPV is computed with an NPV greater than or equal to zero implying that the project is viable.
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As stated in chapter 1, net present value (NPV) decisions are made “technically” without any consideration of reevaluation in the future. The outflows and inflows are discounted, and the NPV is computed with an NPV greater than or equal to zero implying that the project is viable.
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Representation Discovery in Sequential Decision Making
Proceedings of the AAAI Conference on Artificial Intelligence, 2010Automatically constructing novel representations of tasks from analysis of state spaces is a longstanding fundamental challenge in AI. I review recent progress on this problem for sequential decision making tasks modeled as Markov decision processes.
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1999
In this chapter we will focus on sequential decision problems that must be made in the presence of informed uncertainty; that is, uncertainty that can be quantified with probability distributions (also called decision making under risk). These sequential decisions will result in a sequence of actions, also referred to as policies.
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In this chapter we will focus on sequential decision problems that must be made in the presence of informed uncertainty; that is, uncertainty that can be quantified with probability distributions (also called decision making under risk). These sequential decisions will result in a sequence of actions, also referred to as policies.
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Multiattribute Decision Making by Sequential Resource Allocation
Operations Research, 1980A new approach is proposed for addressing decision problems in which the outcomes are multidimensional and possibly interdependent. The method is based on decomposing the problem into a sequence of simpler decision problems. The solution to each subproblem is elicited from the decision-maker by converting it to a simple resource allocation task that ...
Peter A. Morris, Shmuel S. Oren
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Decision Making in a Sequential Game
Journal of Sports Economics, 2012This article uses data from NASCAR to examine strategic decision making with professional players and high stakes. The authors look at driver decisions to pit, enabling car performance to be improved at the cost of track position. Unlike other sports choices that have been used to test game-theoretic play, pitting decisions occur sequentially ...
Deck, Alan, Deck, Cary, Zhu, Zhen
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Qualitative Possibilistic Decisions: Decomposition and Sequential Decisions Making
2017Min-based possibilistic influence diagrams offer a compact modeling of decision problems under uncertainty. Uncertainty and preferential relations are expressed on the same structure by using ordinal data. In many applications, it may be natural to represent expert knowledge and preferences separately and treat all nodes similarly.
Salem Benferhat +3 more
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Sequential Decision Making Under Uncertainty
2005My main research centers around sequential decision making under uncertainty. In a complex dynamical system useful abstractions of knowledge can be essential to an autonomous agent for e.cient decision making. Predictive State Representation, PSR, has been developed to provide a maintainable, self-verifiable and learnable representation of the ...
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SEQUENTIAL DECISION MAKING WITH LIMITED RESOURCES
2019One of the goals of Artificial Intelligence (AI) is to enable multiple agents to interact, co-ordinate and compete with each other to realize various goals. Typically, this is achieved via a system which acts as a mediator to control the agents' behavior via incentives. Such systems are ubiquitous and include online systems for shopping (e.g., Amazon),
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