Pairing Character Classes in a Deathmatch Shooter Game via a Deep-Learning Surrogate Model

2021-03-29 · Daniel Karavolos, Antonios Liapis, Georgios N. Yannakakis

This paper introduces a surrogate model of gameplay that learns the mapping between different game facets, and applies it to a generative system which designs new content in one of these facets. Focusing on the shooter game genre, the paper explores how deep learning can help build a model which combines the game level structure and the game's character class parameters as input and the gameplay outcomes as output. The model is trained on a large corpus of game data from simulations with artificial agents in random sets of levels and class parameters. The model is then used to generate classes for specific levels and for a desired game outcome, such as balanced matches of short duration. Findings in this paper show that the system can be expressive and can generate classes for both computer generated and human authored levels.

📄 PDF Abstract BibTeX arXiv:2103.15451

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Counter-Strike Deathmatch with Large-Scale Behavioural Cloning

2021-04-09 · Tim Pearce, Jun Zhu

This paper describes an AI agent that plays the popular first-person-shooter (FPS) video game `Counter-Strike; Global Offensive' (CSGO) from pixel input. The agent, a deep neural network, matches the performance of the m…

AI Agent Behavioural cloning FPS Games Imitation Learning

SuSketch: Surrogate Models of Gameplay as a Design Assistant

2021-03-22 · Panagiotis Migkotzidis, Antonios Liapis

This paper introduces SuSketch, a design tool for first person shooter levels. SuSketch provides the designer with gameplay predictions for two competing players of specific character classes. The interface allows the de…

Playing FPS Games with Deep Reinforcement Learning

2016-09-18 · Guillaume Lample, Devendra Singh Chaplot

Advances in deep reinforcement learning have allowed autonomous agents to perform well on Atari games, often outperforming humans, using only raw pixels to make their decisions. However, most of these games take place in…

Deep Reinforcement Learning FPS Games Game of Doom Q-Learning+3

ViZDoom Competitions: Playing Doom from Pixels

2018-09-10 · Marek Wydmuch, Michał Kempka, Wojciech Jaśkowski

This paper presents the first two editions of Visual Doom AI Competition, held in 2016 and 2017. The challenge was to create bots that compete in a multi-player deathmatch in a first-person shooter (FPS) game, Doom. The …

Navigate reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

Rapid Skill Capture in a First-Person Shooter

2014-11-05 · David Buckley, Ke Chen, Joshua Knowles

Various aspects of computer game design, including adaptive elements of game levels, characteristics of 'bot' behavior, and player matching in multiplayer games, would ideally be sensitive to a player's skill level. Yet,…

Game Design