The geometry friends game AI competition

Prada, Rui; Lopes, Phil; Catarino, João Ricardo; Quiterio, Joao; Melo, Francisco S.

doi:10.1109/cig.2015.7317949

Cited by 23 publications

(16 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Other game domains that look at co-operative game AI include the geometry friends competition [14], in which two agents with asymmetric action sets attempt to solve physicsbased puzzles together. The agents that compete in this domain must be able to cope with both co-operation and real-time physics.…”

Section: B Co-operative Competitionsmentioning

confidence: 99%

The 2018 Hanabi competition

Walton-Rivers

Williams

Bartle

2019

2019 IEEE Conference on Games (CoG)

View full text Add to dashboard Cite

This paper outlines the Hanabi competition, first run at CIG 2018, and returning for COG 2019. Hanabi presents a useful domain for game agents which must function in a cooperative environment. The paper presents the results of the two tracks which formed the 2018 competition and introduces the learning track, a new track for 2019 which allows the agents to collect statistics across multiple games.

show abstract

Section: B Co-operative Competitionsmentioning

confidence: 99%

The 2018 Hanabi competition

Walton-Rivers

Williams

Bartle

2019

2019 IEEE Conference on Games (CoG)

View full text Add to dashboard Cite

show abstract

“…The Ms Pacman competitions [12] have been running for more than 10 years now, asking participants to write controllers for both Pacman and the ghosts using the Ms Pacman framework (an open implementation of the sequel to the original Pacman). The Geometry Friends competitions [13] asks for controllers that must succeed at playing levels in a custom cooperative video game. The Starcraft AI competition has also been running for long and under different formats (CIG, AIIDE, SSCAI) [14].…”

Section: Related Workmentioning

confidence: 99%

Dota 2 Bot Competition

Font

Mahlmann

2019

IEEE Trans. Games

View full text Add to dashboard Cite

Multiplayer Online Battle Area (MOBA) games are a recent huge success both in the video game industry and the international eSports scene. These games encourage team coordination and cooperation, short and long-term planning, within a real-time combined action and strategy gameplay. Artificial Intelligence and Computational Intelligence in Games research competitions offer a wide variety of challenges regarding the study and application of AI techniques to different game genres. These events are widely accepted by the AI/CI community as a sort of AI benchmarking that strongly influences many other research areas in the field. This paper presents and describes in detail the Dota 2 Bot competition and the Dota 2 AI framework that supports it. This challenge aims to join both, MOBAs and AI/CI game competitions, inviting participants to submit AI controllers for the successful MOBA Defense of the Ancients 2 (Dota 2) to play in 1v1 matches, which aims for fostering research on AI techniques for real-time games. The Dota 2 AI framework makes use of the actual Dota 2 game modding capabilities to enable to connect external AI controllers to actual Dota 2 game matches using the original Free-to-Play game.

show abstract

“…The Geometry Friends Game AI (GFGAI) Competition [11] comes closer to the structure of GVGAI, in the sense that it has multiple tracks (two single player and one cooperative twoplayer), it offers a sample Reinforcement Learning controller for an easy start, and it uses different level sets for training and testing (5 levels in each). However, the competition does focus on a single real-time game, in which the two characters have different abilities and need to cooperate in order to win, whilst also being affected by physics.…”

Section: Related Researchmentioning

confidence: 99%

The 2016 Two-Player GVGAI Competition

et al. 2018

View full text Add to dashboard Cite

Abstract-This paper showcases the setting and results of the first Two-Player General Video Game AI competition, which ran in 2016 at the IEEE World Congress on Computational Intelligence and the IEEE Conference on Computational Intelligence and Games. The challenges for the general game AI agents are expanded in this track from the single-player version, looking at direct player interaction in both competitive and cooperative environments of various types and degrees of difficulty. The focus is on the agents not only handling multiple problems, but also having to account for another intelligent entity in the game, who is expected to work towards their own goals (winning the game). This other player will possibly interact with first agent in a more engaging way than the environment or any non-playing character may do. The top competition entries are analyzed in detail and the performance of all agents is compared across the four sets of games. The results validate the competition system in assessing generality, as well as showing Monte Carlo Tree Search continuing to dominate by winning the overall Championship. However, this approach is closely followed by Rolling Horizon Evolutionary Algorithms, employed by the winner of the second leg of the contest.

show abstract

The geometry friends game AI competition

Cited by 23 publications

References 9 publications

The 2018 Hanabi competition

The 2018 Hanabi competition

Dota 2 Bot Competition

The 2016 Two-Player GVGAI Competition

Contact Info

Product

Resources

About