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The Interval Programming Model Solution Algorithm Experimentation Tools and Results
(2017-09-01)
Interval programming (IvP) is model for representing multi-objective optimization problems along with a set of solution algorithms. This paper describes a set of IvP solution experiments run over randomly generated problem ...
Planning Robust Strategies for Constructing Multi-object Arrangements
(2017-01-30)
A crucial challenge in robotics is achieving reliable results in spite of sensing and control uncertainty. A prominent strategy for dealing with uncertainty is to construct a feedback policy, where actions are chosen as a ...
Generating Component-based Supervised Learning Programs From Crowdsourced Examples
(2017-12-21)
We present CrowdLearn, a new system that processes an existing corpus of crowdsourced machine learning programs to learn how to generate effective pipelines for solving supervised machine learning problems. CrowdLearn uses ...
Typesafety for Explicitly-Coded Probabilistic Inference Procedures
(2017-11-09)
Researchers have recently proposed several systems that ease the process of developing Bayesian probabilistic inference algorithms. These include systems for automatic inference algorithm synthesis as well as stronger ...
Multi-Unit Auction Revenue with Possibilistic Beliefs
(2017-06-05)
The revenue of traditional auction mechanisms is benchmarked solely against the players' own valuations, despite the fact that they may also have valuable beliefs about each other's valuations. Not much is known about ...
Inference and Regeneration of Programs that Manipulate Relational Databases
(2017-08-29)
We present a new technique that infers models of programs that manipulate relational databases. This technique generates test databases and input commands, runs the program, then observes the resulting outputs and updated ...
Automatic Inference of Code Transforms and Search Spaces for Automatic Patch Generation Systems
(2016-07-08)
We present a new system, Genesis, that processes sets of human patches to automatically infer code transforms and search spaces for automatic patch generation. We present results that characterize the effectiveness of the ...
Robust, Goal-directed Plan Execution with Bounded Risk
(2012-02-02)
There is an increasing need for robust optimal plan execution for multi-agent systems in uncertain environments, while guaranteeing an acceptable probability of success. For ex- ample, a fleet of unmanned aerial vehicles ...
Learning and recognition of hybrid manipulation tasks in variable environments using probabilistic flow tubes
(2012-08-23)
Robots can act as proxies for human operators in environments where a human operator is not present or cannot directly perform a task, such as in dangerous or remote situations. Teleoperation is a common interface for ...
Decision Uncertainty Minimization and Autonomous Information Gathering
(2013-08-22)
Over the past several decades, technologies for remote sensing and exploration have be- come increasingly powerful but continue to face limitations in the areas of information gathering and analysis. These limitations ...