Abstract. Recently, there have been several high-profile achieve- ments of agents learning to play games against humans and beat them.
Mar 25, 2019 · In this paper, we study the problem of training intelligent agents in service of game development. Unlike the agents built to beat the game, our agents aim to ...
This paper presents an alternative context for developing AI that plays games, and proposes a learning and planning framework that is uniquely tuned to the ...
This work studies the problem of training game agents in service of the development processes of the game developers that design, build, and operate modern ...
Jan 31, 2020 · In this paper, we study the problem of training intelligent agents in service of game development. Unlike the agents built to “beat the game”, ...
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Bibliographic details on Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI.
We consider an alternative approach that instead addresses game design for a better player experience by training human-like game agents. Specifically, we study ...
Winning Isn't Everything: Training Human-Like Agents for Playtesting and Game AI. Y. Zhao, I. Borovikov, A. Beirami, J. Rupert, C. Somers, J. Harder, F. de ...
Feb 5, 2022 · Building a good human-like AI and letting it playtest all the different civilizations against itself for hundreds of years can let you make a ...
Mar 8, 2023 · Reinforcement learning has shown remarkable success in game-playing agents, as seen in the achievements of AlphaGo and OpenAI's Dota 2 AI.