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07/19/2023
Generating Redstone Style Cities in Minecraft
Procedurally generating cities in Minecraft provides players more divers...
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05/29/2023
Towards Constituting Mathematical Structures for Learning to Optimize
Learning to Optimize (L2O), a technique that utilizes machine learning t...
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05/23/2023
Constrained Reinforcement Learning for Dynamic Material Handling
As one of the core parts of flexible manufacturing systems, material han...
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05/03/2023
Local Optima Correlation Assisted Adaptive Operator Selection
For solving combinatorial optimisation problems with metaheuristics, dif...
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04/26/2023
Game-based Platforms for Artificial Intelligence Research
Games have been the perfect test-beds for artificial intelligence resear...
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04/19/2023
Evolving Constrained Reinforcement Learning Policy
Evolutionary algorithms have been used to evolve a population of actors ...
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04/04/2023
Side Channel-Assisted Inference Leakage from Machine Learning-based ECG Classification
The Electrocardiogram (ECG) measures the electrical cardiac activity gen...
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12/06/2022
State Space Closure: Revisiting Endless Online Level Generation via Reinforcement Learning
In this paper we revisit endless online level generation with the recent...
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10/19/2022
On Representing Mixed-Integer Linear Programs by Graph Neural Networks
While Mixed-integer linear programming (MILP) is NP-hard in general, pra...
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09/25/2022
On Representing Linear Programs by Graph Neural Networks
Learning to optimize is a rapidly growing area that aims to solve optimi...
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07/12/2022
Online Game Level Generation from Music
Game consists of multiple types of content, while the harmony of differe...
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07/05/2022
Generating Game Levels of Diverse Behaviour Engagement
Recent years, there has been growing interests in experience-driven proc...
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10/29/2021
Hyperparameter Tuning is All You Need for LISTA
Learned Iterative Shrinkage-Thresholding Algorithm (LISTA) introduces th...
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10/11/2021
Learned Robust PCA: A Scalable Deep Unfolding Approach for High-Dimensional Outlier Detection
Robust principal component analysis (RPCA) is a critical tool in modern ...
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07/07/2021
Keiki: Towards Realistic Danmaku Generation via Sequential GANs
Search-based procedural content generation methods have recently been in...
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06/30/2021
Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study
We introduce a procedural content generation (PCG) framework at the inte...
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03/23/2021
Learning to Optimize: A Primer and A Benchmark
Learning to optimize (L2O) is an emerging approach that leverages machin...
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11/11/2020
Robust Reinforcement Learning for General Video Game Playing
Reinforcement learning has successfully learned to play challenging boar...
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10/09/2020
Deep Learning for Procedural Content Generation
Procedural content generation in video games has a long history. Existin...
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07/01/2020
Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval
Conducting text retrieval in a dense learned representation space has ma...
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06/27/2020
A Hybrid Evolutionary Algorithm for Reliable Facility Location Problem
The reliable facility location problem (RFLP) is an important research t...
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06/01/2020
Wavelet Scattering Networks for Atomistic Systems with Extrapolation of Material Properties
The dream of machine learning in materials science is for a model to lea...
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05/16/2020
Towards in-store multi-person tracking using head detection and track heatmaps
Computer vision algorithms are being implemented across a breadth of ind...
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05/13/2020
A Novel CNet-assisted Evolutionary Level Repairer and Its Applications to Super Mario Bros
Applying latent variable evolution to game level design has become more ...
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04/29/2020
Versatile Black-Box Optimization
Choosing automatically the right algorithm using problem descriptors is ...
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03/31/2020
Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks
Generative Adversarial Networks (GANs) are an emerging form of indirect ...
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03/06/2020
Learning Convolutional Sparse Coding on Complex Domain for Interferometric Phase Restoration
Interferometric phase restoration has been investigated for decades and ...
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09/25/2019
Decoder Choice Network for Meta-Learning
Meta-learning has been widely used for implementing few-shot learning an...
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09/25/2019
Stock Prices Prediction using Deep Learning Models
Financial markets have a vital role in the development of modern society...
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09/19/2019
Gradient Boost with Convolution Neural Network for Stock Forecast
Market economy closely connects aspects to all walks of life. The stock ...
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07/08/2019
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale
Probabilistic programming languages (PPLs) are receiving widespread atte...
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05/14/2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers
Plug-and-play (PnP) is a non-convex framework that integrates modern den...
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04/22/2019
Algorithm Portfolio for Individual-based Surrogate-Assisted Evolutionary Algorithms
Surrogate-assisted evolutionary algorithms (SAEAs) are powerful optimisa...
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04/03/2019
Rinascimento: Optimising Statistical Forward Planning Agents for Playing Splendor
Game-based benchmarks have been playing an essential role in the develop...
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01/17/2019
Voronoi-based Efficient Surrogate-assisted Evolutionary Algorithm for Very Expensive Problems
Very expensive problems are very common in practical system that one fit...
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01/03/2019
Efficient Evolutionary Methods for Game Agent Optimisation: Model-Based is Best
This paper introduces a simple and fast variant of Planet Wars as a test...
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12/14/2018
Helix: Holistic Optimization for Accelerating Iterative Machine Learning
Machine learning workflow development is a process of trial-and-error: d...
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09/29/2018
Multilevel Optimal Transport: a Fast Approximation of Wasserstein-1 distances
We propose a fast algorithm for the calculation of the Wasserstein-1 dis...
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08/29/2018
Theoretical Linear Convergence of Unfolded ISTA and its Practical Weights and Thresholds
In recent years, unfolding iterative algorithms as neural networks has b...
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08/03/2018
Helix: Accelerating Human-in-the-loop Machine Learning
Data application developers and data scientists spend an inordinate amou...
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06/06/2018
Deep Reinforcement Learning for General Video Game AI
The General Video Game AI (GVGAI) competition and its associated softwar...
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06/04/2018
Shallow decision-making analysis in General Video Game Playing
The General Video Game AI competitions have been the testing ground for ...
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05/02/2018
Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network
Generative Adversarial Networks (GANs) are a machine learning approach c...
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04/16/2018
Accelerating Human-in-the-loop Machine Learning: Challenges and Opportunities
Development of machine learning (ML) workflows is a tedious process of i...
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02/28/2018
General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms
General Video Game Playing (GVGP) aims at designing an agent that is cap...
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02/24/2018
PSO-based Fuzzy Markup Language for Student Learning Performance Evaluation and Educational Application
This paper proposes an agent with particle swarm optimization (PSO) base...
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02/16/2018
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
This paper describes the N-Tuple Bandit Evolutionary Algorithm (NTBEA), ...
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08/31/2017
Online Convolutional Dictionary Learning
Convolutional sparse representations are a form of sparse representation...
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08/07/2017
Efficient Noisy Optimisation with the Sliding Window Compact Genetic Algorithm
The compact genetic algorithm is an Estimation of Distribution Algorithm...
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06/13/2017