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Decision Making Under Uncertainty

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Approximate Inference in Discrete Distributions with Monte Carlo Tree Search and Value Functions

15 Oct 2019

A plethora of problems in AI, engineering and the sciences are naturally formalized as inference in discrete probabilistic models.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Cognitive Agent Based Simulation Model For Improving Disaster Response Procedures

2 Oct 2019

In this paper, we propose an agent-based simulation tool, which is grounded in human cognition and decision-making, for evaluating and improving the effectiveness of building evacuation procedures and guidance systems during a disaster.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Efficient Decision Making and Belief Space Planning using Sparse Approximations

2 Sep 2019

In this work, we introduce a new approach for the efficient solution of autonomous decision and planning problems, with a special focus on decision making under uncertainty and belief space planning (BSP) in high-dimensional state spaces.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Bayesian Incremental Inference Update by Re-using Calculations from Belief Space Planning: A New Paradigm

6 Aug 2019

Inference and decision making under uncertainty are key processes in every autonomous system and numerous robotic problems.

AUTONOMOUS NAVIGATION BAYESIAN INFERENCE DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Modelling Dynamic Interactions between Relevance Dimensions

25 Jul 2019

We study the interaction between the relevance dimensions using the mathematical framework of Quantum Theory.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY INFORMATION RETRIEVAL

Cognitive Model Priors for Predicting Human Decisions

22 May 2019

To solve this problem, what is needed are machine learning models with appropriate inductive biases for capturing human behavior, and larger datasets.

BENCHMARKING DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

A Distributionally Robust Boosting Algorithm

20 May 2019

Distributionally Robust Optimization (DRO) has been shown to provide a flexible framework for decision making under uncertainty and statistical estimation.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Knowledge-Based Sequential Decision-Making Under Uncertainty

16 May 2019

Deep reinforcement learning (DRL) algorithms have achieved great success on sequential decision-making problems, yet is criticized for the lack of data-efficiency and explainability.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY

Optimization under Uncertainty in the Era of Big Data and Deep Learning: When Machine Learning Meets Mathematical Programming

3 Apr 2019

This paper reviews recent advances in the field of optimization under uncertainty via a modern data lens, highlights key research challenges and promise of data-driven optimization that organically integrates machine learning and mathematical programming for decision-making under uncertainty, and identifies potential research opportunities.

DECISION MAKING DECISION MAKING UNDER UNCERTAINTY