EvoMan: Game-playing Competition

2019-12-22 · Fabricio Olivetti de Franca, Denis Fantinato, Karine Miras, A. E. Eiben, Patricia A. Vargas

This paper describes a competition proposal for evolving Intelligent Agents for the game-playing framework called EvoMan. The framework is based on the boss fights of the game called Mega Man II developed by Capcom. For this particular competition, the main goal is to beat all of the eight bosses using a generalist strategy. In other words, the competitors should train the agent to beat a set of the bosses and then the agent will be evaluated by its performance against all eight bosses. At the end of this paper, the competitors are provided with baseline results so that they can have an intuition on how good their results are.

📄 PDF Abstract BibTeX arXiv:1912.10445

Code (1)

karinemiras/evoman_framework 공식 구현

General Board Game Playing for Education and Research in Generic AI Game Learning

2019-07-11 · Wolfgang Konen

We present a new general board game (GBG) playing and learning framework. GBG defines the common interfaces for board games, game states and their AI agents. It allows one to run competitions of different agents on diffe…

Board Games

Reinforcement Learning with Dual-Observation for General Video Game Playing

2020-11-11 · Chengpeng Hu, Ziqi Wang, Tianye Shu, Hao Tong 외

Reinforcement learning algorithms have performed well in playing challenging board and video games. More and more studies focus on improving the generalisation ability of reinforcement learning algorithms. The General Vi…

Decision Making reinforcement-learning Reinforcement Learning Reinforcement Learning (RL)

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2019-06-23 · Andrew Cropper, Richard Evans, Mark Law

General game playing (GGP) is a framework for evaluating an agent's general intelligence across a wide range of tasks. In the GGP competition, an agent is given the rules of a game (described as a logic program) that it …

Inductive logic programming Sokoban

Towards Game-Playing AI Benchmarks via Performance Reporting Standards

2020-07-06 · Vanessa Volz, Boris Naujoks

While games have been used extensively as milestones to evaluate game-playing AI, there exists no standardised framework for reporting the obtained observations. As a result, it remains difficult to draw general conclusi…

General Video Game AI: a Multi-Track Framework for Evaluating Agents, Games and Content Generation Algorithms

2018-02-28 · Diego Perez-Liebana, Jialin Liu, Ahmed Khalifa, Raluca D. Gaina 외

General Video Game Playing (GVGP) aims at designing an agent that is capable of playing multiple video games with no human intervention. In 2014, The General Video Game AI (GVGAI) competition framework was created and re…