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07/19/2023
PyTAG: Challenges and Opportunities for Reinforcement Learning in Tabletop Games
In recent years, Game AI research has made important breakthroughs using...
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05/30/2022
Elastic Monte Carlo Tree Search with State Abstraction for Strategy Game Playing
Strategy video games challenge AI agents with their combinatorial search...
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05/20/2022
Task Relabelling for Multi-task Transfer using Successor Features
Deep Reinforcement Learning has been very successful recently with vario...
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02/11/2022
Visualising Multiplayer Game Spaces
We compare four different `game-spaces' in terms of their usefulness in ...
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04/21/2021
Portfolio Search and Optimization for General Strategy Game-Playing
Portfolio methods represent a simple but efficient type of action abstra...
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04/17/2021
Generating Diverse and Competitive Play-Styles for Strategy Games
Designing agents that are able to achieve different play-styles while ma...
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04/17/2021
Action Advising with Advice Imitation in Deep Reinforcement Learning
Action advising is a peer-to-peer knowledge exchange technique built on ...
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04/17/2021
Learning on a Budget via Teacher Imitation
Deep Reinforcement Learning (RL) techniques can benefit greatly from lev...
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10/01/2020
Student-Initiated Action Advising via Advice Novelty
Action advising is a knowledge exchange mechanism between peers, namely ...
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09/25/2020
Design and Implementation of TAG: A Tabletop Games Framework
This document describes the design and implementation of the Tabletop Ga...
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09/18/2020
TotalBotWar: A New Pseudo Real-time Multi-action Game Challenge and Competition for AI
This paper presents TotalBotWar, a new pseudo real-time multi-action cha...
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09/11/2020
The Design Of "Stratega": A General Strategy Games Framework
Stratega, a general strategy games framework, has been designed to foste...
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05/22/2020
Evaluating Generalisation in General Video Game Playing
The General Video Game Artificial Intelligence (GVGAI) competition has b...
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05/14/2020
Rolling Horizon NEAT for General Video Game Playing
This paper presents a new Statistical Forward Planning (SFP) method, Rol...
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05/12/2020
Guaranteeing Reproducibility in Deep Learning Competitions
To encourage the development of methods with reproducible and robust tra...
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03/27/2020
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
Game-playing Evolutionary Algorithms, specifically Rolling Horizon Evolu...
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09/01/2019
Learning Local Forward Models on Unforgiving Games
This paper examines learning approaches for forward models based on loca...
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06/12/2019
General Video Game Rule Generation
We introduce the General Video Game Rule Generation problem, and the epo...
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06/10/2019
Project Thyia: A Forever Gameplayer
The space of Artificial Intelligence entities is dominated by conversati...
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05/26/2019
Ensemble Decision Systems for General Video Game Playing
Ensemble Decision Systems offer a unique form of decision making that al...
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04/22/2019
The MineRL Competition on Sample Efficient Reinforcement Learning using Human Priors
Though deep reinforcement learning has led to breakthroughs in many diff...
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04/19/2019
Teaching on a Budget in Multi-Agent Deep Reinforcement Learning
Deep Reinforcement Learning algorithms can solve complex sequential deci...
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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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03/29/2019
A Local Approach to Forward Model Learning: Results on the Game of Life Game
This paper investigates the effect of learning a forward model on the pe...
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01/23/2019
The Multi-Agent Reinforcement Learning in MalmÖ (MARLÖ) Competition
Learning in multi-agent scenarios is a fruitful research direction, but ...
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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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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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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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02/16/2018
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
This paper describes the N-Tuple Bandit Evolutionary Algorithm (NTBEA), ...
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08/07/2017
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
Evaluating Noisy Optimisation Algorithms: First Hitting Time is Problematic
A key part of any evolutionary algorithm is fitness evaluation. When fit...
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04/24/2017
Analysis of Vanilla Rolling Horizon Evolution Parameters in General Video Game Playing
Monte Carlo Tree Search techniques have generally dominated General Vide...
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04/24/2017
Evaluating and Modelling Hanabi-Playing Agents
Agent modelling involves considering how other agents will behave, in or...
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04/23/2017
General Video Game AI: Learning from Screen Capture
General Video Game Artificial Intelligence is a general game playing fra...
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04/23/2017
Population Seeding Techniques for Rolling Horizon Evolution in General Video Game Playing
While Monte Carlo Tree Search and closely related methods have dominated...
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09/08/2016
Ms. Pac-Man Versus Ghost Team CIG 2016 Competition
This paper introduces the revival of the popular Ms. Pac-Man Versus Ghos...
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07/22/2016
Optimal resampling for the noisy OneMax problem
The OneMax problem is a standard benchmark optimisation problem for a bi...
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07/06/2016
Rolling Horizon Coevolutionary Planning for Two-Player Video Games
This paper describes a new algorithm for decision making in two-player r...
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06/20/2016