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General Video Game Playing
2013
Dagstuhl Publications
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In this work, we seek to extend the idea of General Game Playing into the realm of video games, thus forming the area of General Video Game Playing (GVGP). ...
In the area of games, this has given rise to the challenge of General Game Playing (GGP). ...
Games for General Video Game Playing What kind of games are suitable for General Video Game Playing research? ...
doi:10.4230/dfu.vol6.12191.77
dblp:conf/dagstuhl/LevineCEKLMST13
fatcat:ud7gsnfozfam5d5gtbkqbibemy
Neuroevolution for General Video Game Playing
2015
2015 IEEE Conference on Computational Intelligence and Games (CIG)
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General Video Game Playing (GVGP) allows for the fair evaluation of algorithms and agents as it minimizes the ability of an agent to exploit apriori knowledge in the form of game specific heuristics. ...
of games played increases. ...
allow for a deeper analysis on their learning abilities in the domain of General Video Game Playing. ...
doi:10.1109/cig.2015.7317943
dblp:conf/cig/SamothrakisLLF15
fatcat:vmy2bx5625brdk3bcyz2uoknia
Reinforcement Learning with Dual-Observation for General Video Game Playing
[article]
2022
arXiv
pre-print
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2020 pre-print arXiv:2011.05622v1 fatcat:jlckb36vzfbcdfcj22ygi5lubeOther Versions
The General Video Game AI Learning Competition aims at designing agents that are capable of learning to play different game levels that were unseen during training. ...
Reinforcement learning algorithms have performed well in playing challenging board and video games. ...
(i) We present a robust RL agent, called Arcane, for general video game playing. ...
arXiv:2011.05622v3
fatcat:sjgph5shj5gunlbcxtpvm2237u
Evaluating Generalisation in General Video Game Playing
[article]
2020
arXiv
pre-print
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The General Video Game Artificial Intelligence (GVGAI) competition has been running for several years with various tracks. ...
We found that solely using the rewards provided by the game might not encourage winning. ...
It is developed with the objective of centering research in general video game playing. ...
arXiv:2005.11247v1
fatcat:7jr6yqikized5peugjcf3kyk24
Learning to Play General Video-Games via an Object Embedding Network
[article]
2018
arXiv
pre-print
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Deep reinforcement learning (DRL) has proven to be an effective tool for creating general video-game AI. ...
However most current DRL video-game agents learn end-to-end from the video-output of the game, which is superfluous for many applications and creates a number of additional problems. ...
INTRODUCTION General video-game AI (GVG-AI) is an area regarding the development of general algorithms that enable AI agents to play a wide range of different video-games with minimal tailoring to specific ...
arXiv:1803.05262v2
fatcat:zqjfuoc3hredxo4wju2jkthnsi
Rolling Horizon Evolutionary Algorithms for General Video Game Playing
[article]
2020
arXiv
pre-print
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Game-playing Evolutionary Algorithms, specifically Rolling Horizon Evolutionary Algorithms, have recently managed to beat the state of the art in win rate across many video games. ...
We then use a parameter optimiser, the N-Tuple Bandit Evolutionary Algorithm, to find the best combination of parameters in 20 games from the General Video Game AI Framework. ...
ACKNOWLEDGMENTS This work was funded by the EPSRC CDT in Intelligent Games and Game Intelligence (IGGI) EP/L015846/1 ...
arXiv:2003.12331v2
fatcat:mcm3xm5qgjawjgbv2h3lnkpgvm
Rolling Horizon NEAT for General Video Game Playing
2020
2020 IEEE Conference on Games (CoG)
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The algorithm proposed here is general and introduces a new way of representing information within rolling horizon evolution techniques. ...
Although results are overall not better than other SFP methods, the nature of rhNEAT to adapt to changing game features has allowed to establish new state of the art records in games that other methods ...
Win rates per game for rhNEAT, MCTS, RHEA and state of the art results for rolling horizon methods. Graphs [26] ...
doi:10.1109/cog47356.2020.9231606
dblp:conf/cig/LiebanaAG20
fatcat:w455qc4u5felhj42fwha2n27vi
Rolling Horizon NEAT for General Video Game Playing
[article]
2020
arXiv
pre-print
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The algorithm proposed here is general and introduces a new way of representing information within rolling horizon evolution techniques. ...
Although results are overall not better than other SFP methods, the nature of rhNEAT to adapt to changing game features has allowed to establish new state of the art records in games that other methods ...
Win rates per game for rhNEAT, MCTS, RHEA and state of the art results for rolling horizon methods. Graphs [26] ...
arXiv:2005.06764v1
fatcat:roqsg6isejdj3i4qdol7o5awd4
Open Loop Search for General Video Game Playing
2015
Proceedings of the 2015 on Genetic and Evolutionary Computation Conference - GECCO '15
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General Video Game Playing is a sub-field of Game Artificial Intelligence, where the goal is to find algorithms capable of playing many different real-time games, some of them unknown a priori. ...
Research in this area has been of special interest in the last years, with emerging contests like the General Video Game AI (GVG-AI) Competition. ...
General Game Playing (GGP) and General Video Game Playing (GVGP), on the other hand, drive research to algorithms that play a set of significantly different games, even some of them unknown a priori. ...
doi:10.1145/2739480.2754811
dblp:conf/gecco/LiebanaDHML15
fatcat:fc7rxqarlzfj7pyubphrl4gsgq
Investigating MCTS modifications in general video game playing
2015
2015 IEEE Conference on Computational Intelligence and Games (CIG)
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This paper investigates of how well these modifications perform in general video game playing using the general video game AI (GVG-AI) framework and introduces a new MCTS modification called UCT reverse ...
being played. ...
General Video Game Playing The AAAI general game playing competition by Stanford Logic Group of Stanford University [7] is one of the oldest and most well-known general game playing frameworks. ...
doi:10.1109/cig.2015.7317937
dblp:conf/cig/FrydenbergART15
fatcat:25txwjyixragrcxvpa3ngezxj4
Ensemble Decision Systems for General Video Game Playing
2019
2019 IEEE Conference on Games (CoG)
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options for building an Ensemble Decision System as well as providing analysis on its performance compared to the individual components of the system with interesting results, showing an increase in the generality ...
ACKNOWLEDGMENT This work was partially funded by the EPSRC CDT in Intelligent Games and Game Intelligence (IGGI) EP/L015846/1. ...
BACKGROUND The field of General Video Game Playing (GVGP) began in 2013 as a way of promoting interest towards developing game playing agents that could play a wide variety of video games [1] . ...
doi:10.1109/cig.2019.8848089
dblp:conf/cig/AndersonRLGL19
fatcat:2r5hndartbfohpijpknqulpgaq
Reuse of Neural Modules for General Video Game Playing
[article]
2015
arXiv
pre-print
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can be predicted based on a high-level characterization of game dynamics. ...
This approach is more general than previous approaches to neural transfer for reinforcement learning. ...
It will be interesting to investigate whether the same principles extend to other general video game playing platforms, such as VGDL (Perez et al. 2015; Schaul 2013) . ...
arXiv:1512.01537v1
fatcat:t6i5qmlpcfcv3frh3np4xa6d44
Shallow decision-making analysis in General Video Game Playing
[article]
2018
arXiv
pre-print
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The General Video Game AI competitions have been the testing ground for several techniques for game playing, such as evolutionary computation techniques, tree search algorithms, hyper heuristic based or ...
So far the metrics used to evaluate the performance of agents have been win ratio, game score and length of games. ...
INTRODUCTION General video game playing (GVGP) and General game playing (GGP) aim at designing AI agents that are able to play more than one (video) game successfully alone without human intervention. ...
arXiv:1806.01151v1
fatcat:xjylowmawfeuzc5smdwfq4x3vy
Analyzing the robustness of general video game playing agents
2016
2016 IEEE Conference on Computational Intelligence and Games (CIG)
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This paper presents a study on the robustness and variability of performance of general video game-playing agents. ...
Agents analyzed includes those that won the different legs of the 2014 and 2015 General Video Game AI Competitions, and two sample agents distributed with its framework. ...
This framework is called the General Video Game AI Framework, and the competition the General Video Game AI Competition; both are abbreviated "GVGAI". ...
doi:10.1109/cig.2016.7860430
dblp:conf/cig/LiebanaSTSL16
fatcat:utqbnohotbfd7ckekal6rqjidi
Reuse of Neural Modules for General Video Game Playing
2016
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
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can be predicted based on a high-level characterization of game dynamics. ...
This approach is more general than previous approaches to neural transfer for reinforcement learning. ...
It will be interesting to investigate whether the same principles extend to other general video game playing platforms, such as VGDL (Perez et al. 2015; Schaul 2013) . ...
doi:10.1609/aaai.v30i1.10014
fatcat:t6267vxzezcsxfnja4sfneul54
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