
Robust temporal difference learning for critical domains
We present a new Qfunction operator for temporal difference (TD) learni...
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Putting Ridesharing to the Test: Efficient and Scalable Solutions and the Power of Dynamic Vehicle Relocation
Ridesharing is a coordination problem in its core. Traditionally it has ...
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ChanVese Reformulation for Selective Image Segmentation
Selective segmentation involves incorporating user input to partition an...
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A Binary Optimization Approach for Constrained KMeans Clustering
KMeans clustering still plays an important role in many computer vision...
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Explaining Deep Neural Networks Using SpectrumBased Fault Localization
Deep neural networks (DNNs) increasingly replace traditionally developed...
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A GameBased Approximate Verification of Deep Neural Networks with Provable Guarantees
Despite the improved accuracy of deep neural networks, the discovery of ...
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Gaussian process classification using posterior linearisation
This paper proposes a new algorithm for Gaussian process classification ...
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Analysing Dropout and Compounding Errors in Neural Language Models
This paper carries out an empirical analysis of various dropout techniqu...
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Uncertainty in ModelAgnostic MetaLearning using Variational Inference
We introduce a new, rigorouslyformulated Bayesian metalearning algorit...
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AngularBased Word MetaEmbedding Learning
Ensembling word embeddings to improve distributed word representations h...
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Fast Convergence for Object Detection by Learning how to Combine Error Functions
In this paper, we introduce an innovative method to improve the converge...
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GANGs: Generative Adversarial Network Games
Generative Adversarial Networks (GAN) have become one of the most succes...
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An Optimality Proof for the PairDiff operator for Representing Relations between Words
Representing the semantic relations that exist between two given words (...
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A Note on Nesting in Dyadic Deontic Logic
The paper reports on some results concerning Aqvist's dyadic logic known...
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FeatureGuided BlackBox Safety Testing of Deep Neural Networks
Despite the improved accuracy of deep neural networks, the discovery of ...
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Binary Voting with Delegable Proxy: An Analysis of Liquid Democracy
The paper provides an analysis of the voting method known as delegable p...
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A Logic for Global and Local Announcements
In this paper we introduce global and local announcement logic (GLAL), ...
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Common Knowledge in a Logic of Gossips
Gossip protocols aim at arriving, by means of pointtopoint or group co...
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Lenient MultiAgent Deep Reinforcement Learning
A significant amount of research in recent years has been dedicated towa...
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Liquid Democracy: An Analysis in Binary Aggregation and Diffusion
The paper proposes an analysis of liquid democracy (or, delegable proxy ...
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The Data Complexity of Description Logic Ontologies
We analyze the data complexity of ontologymediated querying where the o...
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Epistemic Protocols for Distributed Gossiping
Gossip protocols aim at arriving, by means of pointtopoint or group co...
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Probably Approximately Correct Greedy Maximization
Submodular function maximization finds application in a variety of real...
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Poisson multiBernoulli mixture filter: direct derivation and implementation
We provide a derivation of the Poisson multiBernoulli mixture (PMBM) fi...
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Scaling POMDPs For Selecting Sellers in EmarketsExtended Version
In multiagent emarketplaces, buying agents need to select good sellers ...
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Why PairDiff works?  A Mathematical Analysis of Bilinear Relational Compositional Operators for Analogy Detection
Representing the semantic relations that exist between two given words (...
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Towards Verifiably Ethical Robot Behaviour
Ensuring that autonomous systems work ethically is both complex and diff...
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InfluenceOptimistic Local Values for Multiagent Planning  Extended Version
Recent years have seen the development of methods for multiagent plannin...
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An ArgumentationBased Framework to Address the Attribution Problem in CyberWarfare
Attributing a cyberoperation through the use of multiple pieces of tech...
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Scalable Planning and Learning for Multiagent POMDPs: Extended Version
Online, samplebased planning algorithms for POMDPs have shown great pro...
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Enabling Automatic Certification of Online Auctions
We consider the problem of building up trust in a network of online auct...
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TRIM: Triangulating Images for Efficient Registration
With the advancement in the digital camera technology, the use of high r...
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Dynamic Feature Scaling for Online Learning of Binary Classifiers
Scaling feature values is an important step in numerous machine learning...
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A Total FractionalOrder Variation Model for Image Restoration with Nonhomogeneous Boundary Conditions and its Numerical Solution
To overcome the weakness of a total variation based model for image rest...
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Agent Based Approaches to Engineering Autonomous Space Software
Current approaches to the engineering of space software such as satellit...
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A novel variational model for image registration using Gaussian curvature
Image registration is one important task in many image processing applic...
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On Concise Encodings of Preferred Extensions
Much work on argument systems has focussed on preferred extensions which...
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Compositional Approaches for Representing Relations Between Words: A Comparative Study
Identifying the relations that exist between words (or entities) is impo...
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Mutants and Residents with Different Connection Graphs in the Moran Process
The Moran process, as studied by Lieberman et al. [L05], is a stochastic...
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Reachability Switching Games
In this paper, we study the problem of deciding the winner of reachabili...
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Verification of Programs via Intermediate Interpretation
We explore an approach to verification of programs via program transform...
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A Rational Agent Controlling an Autonomous Vehicle: Implementation and Formal Verification
The development and deployment of Autonomous Vehicles (AVs) on our roads...
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Colored Pointset Embeddings of Acyclic Graphs
We show that any planar drawing of a forest of three stars whose vertice...
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Faulttolerant parallel scheduling of arbitrary length jobs on a shared channel
We study the problem of scheduling jobs on faultprone machines communic...
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Practical Challenges in Explicit Ethical Machine Reasoning
We examine implemented systems for ethical machine reasoning with a view...
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Arrow Update Synthesis
In this contribution we present arbitrary arrow update model logic (AAUM...
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Formalising Sensor Topologies for Target Counting
We present a formal model developed to reason about topologies created b...
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Temporal Vertex Cover with a Sliding Time Window
Modern, inherently dynamic systems are usually characterized by a networ...
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Binary Constrained Deep Hashing Network for Image Retrieval without Human Intervention
Learning compact binary codes for image retrieval problem using deep neu...
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Station Assignment with Reallocation
We study a dynamic allocation problem that arises in various scenarios w...
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