
Deep Reinforcement Learning for Autonomous Driving: A Survey
With the development of deep representation learning, the domain of rein...
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Deep Reinforcement Learning: An Overview
In recent years, a specific machine learning method called deep learning...
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Versatile Auxiliary Classifier with Generative Adversarial Network (VAC+GAN), Multi Class Scenarios
Conditional generators learn the data distribution for each class in a m...
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Mobility restores the mechanism which supports cooperation in the voluntary prisoner's dilemma game
It is generally believed that in a situation where individual and collec...
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A Further Analysis of The Role of Heterogeneity in Coevolutionary Spatial Games
Heterogeneity has been studied as one of the most common explanations of...
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The Impact of Coevolution and Abstention on the Emergence of Cooperation
This paper explores the Coevolutionary Optional Prisoner's Dilemma (COPD...
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The Optional Prisoner's Dilemma in a Spatial Environment: Coevolving Game Strategy and Link Weights
In this paper, the Optional Prisoner's Dilemma game in a spatial environ...
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Simulation of an Optional Strategy in the Prisoner's Dilemma in Spatial and Nonspatial Environments
This paper presents research comparing the effects of different environm...
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Smart Augmentation  Learning an Optimal Data Augmentation Strategy
A recurring problem faced when training neural networks is that there is...
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Learning to predict where to look in interactive environments using deep recurrent qlearning
BottomUp (BU) saliency models do not perform well in complex interactiv...
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OneClass Classification: Taxonomy of Study and Review of Techniques
Oneclass classification (OCC) algorithms aim to build classification mo...
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Performance Analysis of Cone Detection Algorithms
Many algorithms have been proposed to help clinicians evaluate cone dens...
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Cyclic Dominance in the Spatial Coevolutionary Optional Prisoner's Dilemma Game
This paper studies scenarios of cyclic dominance in a coevolutionary spa...
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Coding Theory: the unitderived methodology
The unitderived method in coding theory is shown to be a unique optimal...
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Versatile Auxiliary Classifier + Generative Adversarial Network (VAC+GAN); Training Conditional Generators
One of the most interesting challenges in Artificial Intelligence is to ...
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Quantum errorcorrecting codes: the unitderived strategy
Series of maximum distance quantum errorcorrecting codes are developed ...
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A Virtual Environment with MultiRobot Navigation, Analytics, and Decision Support for Critical Incident Investigation
Accidents and attacks that involve chemical, biological, radiological/nu...
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Learning to Shoot in First Person Shooter Games by Stabilizing Actions and Clustering Rewards for Reinforcement Learning
While reinforcement learning (RL) has been applied to turnbased board g...
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DREBot: A Hierarchical First Person Shooter Bot Using Multiple Sarsa(λ) Reinforcement Learners
This paper describes an architecture for controlling nonplayer characte...
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Analysis of the Effect of Unexpected Outliers in the Classification of Spectroscopy Data
Multiclass classification algorithms are very widely used, but we argue...
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Skilled Experience Catalogue: A SkillBalancing Mechanism for NonPlayer Characters using Reinforcement Learning
In this paper, we introduce a skillbalancing mechanism for adversarial ...
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Efficient CNN Implementation for EyeGaze Estimation on LowPower/LowQuality Consumer Imaging Systems
Accurate and efficient eye gaze estimation is important for emerging con...
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Entanglementassisted quantum errorcorrecting codes from units
Entanglementassisted quantum errorcorrecting codes (EAQECCs) to desire...
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Using a Game Engine to Simulate Critical Incidents and Data Collection by Autonomous Drones
Using a game engine, we have developed a virtual environment which model...
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A Virtual Testbed for Critical Incident Investigation with Autonomous Remote Aerial Vehicle Surveying, Artificial Intelligence, and Decision Support
Autonomous robotics and artificial intelligence techniques can be used t...
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Evoplex: A platform for agentbased modeling on networks
Evoplex is a fast, robust and extensible platform for developing agentb...
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Embedding Cardinality Constraints in Neural Link Predictors
Neural link predictors learn distributed representations of entities and...
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Differentiable Satisfiability and Differentiable Answer Set Programming for SamplingBased MultiModel Optimization
We propose Differentiable Satisfiability and Differentiable Answer Set P...
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Linear complementary dual, maximum distance separable codes
Linear complementary dual (LCD) maximum distance separable (MDS) codes a...
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Maximum distance separable codes to order
Maximum distance separable (MDS) are constructed to required specificati...
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MDS codes over finite fields
The mds (maximum distance separable) conjecture claims that a nontrivial...
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The strong approximation theorem and computing with linear groups
We obtain a computational realization of the strong approximation theore...
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When and Why Metaheuristics Researchers Can Ignore "No Free Lunch" Theorems
The No Free Lunch (NFL) theorem for search and optimisation states that ...
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Firstorder system least squares finiteelements for singularly perturbed reactiondiffusion equations
We propose a new firstordersystem least squares (FOSLS) finiteelement...
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PROFET: Construction and Inference of DBNs Based on Mathematical Models
This paper presents, evaluates, and discusses a new software tool to aut...
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Graph Convolutional Networks: analysis, improvements and results
In the current era of neural networks and big data, higher dimensional d...
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Towards Unconstrained Palmprint Recognition on Consumer Devices: a Literature Review
As a biometric palmprints have been largely underutilized, but they off...
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Robust Classification of HighDimensional Spectroscopy Data Using Deep Learning and Data Synthesis
This paper presents a new approach to classification of high dimensional...
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Introducing PyCross: PyCloudy Rendering Of Shape Software for pseudo 3D ionisation modelling of nebulae
Research into the processes of photoionised nebulae plays a significant ...
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