mlsanityData to 7 Oct 2026

DareFightingICE Competition: A Fighting Game Sound Design and AI Competition

arXiv 2203.01556 ↗First posted 3 Mar 2022cs.HC cs.AI cs.SDcited by 10

Not on the map. Why?

Abstract (arXiv)

This paper presents a new competition -- at the 2022 IEEE Conference on Games (CoG) -- called DareFightingICE Competition. The competition has two tracks: a sound design track and an AI track. The game platform for this competition is also called DareFightingICE, a fighting game platform. DareFightingICE is a sound-design-enhanced version of FightingICE, used earlier in a competition at CoG until 2021 to promote artificial intelligence (AI) research in fighting games. In the sound design track, participants compete for the best sound design, given the default sound design of DareFightingICE as a sample, where we define a sound design as a set of sound effects combined with the source code that implements their timing-control algorithm. Participants of the AI track are asked to develop their AI algorithm that controls a character given only sound as the input (blind AI) to fight against their opponent; a sample deep-learning blind AI will be provided by us. Our means to maximize the synergy between the two tracks are also described. This competition serves to come up with effective sound designs for visually impaired players, a group in the gaming community which has been mostly ignored. To the best of our knowledge, DareFightingICE Competition is the first of its kind within and outside of CoG.

Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). Builds on 8 of its 41 references that are in the map. First posted on arXiv 3 Mar 2022.

Builds on

8 of 41 references.

References · 8

  1. 2017Proximal Policy Optimization Algorithmscited by 14,441
  2. 2013Playing Atari with Deep Reinforcement Learningcited by 3,211
  3. 2020Deep Learning for Procedural Content Generationcited by 73
  4. 2019Playing Games in the Dark: An approach for cross-modality transfer in reinforcement learningcited by 9
  5. 2020Enhanced Rolling Horizon Evolution Algorithm with Opponent Model Learning: Results for the Fighting Game AI Competitioncited by 4
  6. 2021Agents that Listen: High-Throughput Reinforcement Learning with Multiple Sensory Systemscited by 4
  7. 2019"Did You Hear That?" Learning to Play Video Games from Audio Cuescited by 3
  8. 2021Carle's Game: An Open-Ended Challenge in Exploratory Machine Creativitycited by 3

Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 1; 2023: 4; 2024: 4; 2025: 0; 2026: 1.

10 papers.