A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Filters
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
2020
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
Preserved Fulltext
This prevents such policies from being applied to more complex multi-agent tasks. ...
The hierarchical graph attention network is specially designed to model the hierarchical relationships among multiple agents that either cooperate or compete with each other to derive more advanced strategic ...
vs. Predator-Prey The next game we consider is 3 vs. 3 predator-prey game, a variant of the original 3 vs. 1 predator-prey game. The game rules are identical to those of 3 vs. 1 predator-prey game. ...
doi:10.1609/aaai.v34i05.6214
fatcat:pydb25njo5a2vliumgqrzwgfh4
StarCraft Micromanagement with Reinforcement Learning and Curriculum Transfer Learning
[article]
2018
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2019; you can also visit the original URL.
The file type is application/pdf.
In small scale scenarios, our units successfully learn to combat and defeat the built-in AI with 100 curriculum transfer learning method is used to progressively train a group of units, and shows superior ...
Real-time strategy games have been an important field of game artificial intelligence in recent years. ...
ACKNOWLEDGMENT We would like to thank Qichao Zhang, Yaran Chen, Dong Li, Zhentao Tang and Nannan Li for the helpful comments and discussions about this work and paper writing. ...
arXiv:1804.00810v1
fatcat:mlskaiafdjd4rdfdtvwq7wozaa
Dungeon Crawl Stone Soup as an Evaluation Domain for Artificial Intelligence
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We also highlight an ongoing effort to build an API for AI researchers in the spirit of recent game APIs such as MALMO, ELF, and the Starcraft II API. ...
This paper describes the properties of Dungeon Crawl Stone Soup that are conducive to evaluating new approaches of AI systems. ...
We also described an ongoing effort to build an API for AI agents to play and be evaluated in this game. ...
arXiv:1902.01769v1
fatcat:dqlpvrxkqvcotef4ju45shyw7q
Multi-Agent Actor-Critic with Hierarchical Graph Attention Network
[article]
2019
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Other Versions
This prevents such policies from being applied to more complex multi-agent tasks. ...
The hierarchical graph attention network is specially designed to model the hierarchical relationships among multiple agents that either cooperate or compete with each other to derive more advanced strategic ...
vs. Predator-Prey The next game we consider is 3 vs. 3 predator-prey game, a variant of the original 3 vs. 1 predator-prey game. The game rules are identical to those of 3 vs. 1 predator-prey game. ...
arXiv:1909.12557v2
fatcat:3logs5g25begbiq3shexosgype
Frontmatter
2013
Dagstuhl Publications
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2016; you can also visit the original URL.
The file type is application/pdf.
Finally the chapter looks forward to promising techniques which might bring some of the success achieved in games such as Go and Chess, to real-time video games. ...
have been highly successful in a wide range of application areas, to address a broad range of problems arising in video games. ...
We expect to see many advances in search-based video game AI in the next few years. ...
doi:10.4230/dfu.vol6.12191.i
dblp:conf/dagstuhl/X13b
fatcat:i4isdb5w4fastcbnczbtsdulkm
If multi-agent learning is the answer, what is the question?
2007
Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
We thank them all collectively, with special thanks to members of the multi-agent group at Stanford in the past three years. ...
The area of learning in multi-agent systems is today one of the most fertile grounds for interaction between game theory and artificial intelligence. ...
On some special characteristics of multi-agent learning Before launching into specifics, we wish to highlight the special nature of MAL. ...
doi:10.1016/j.artint.2006.02.006
fatcat:2iwe7b4xfbhdnm4pi7iy5ph3gm
Learning to recommend game contents for real-time strategy gamers
2014
2014 IEEE Conference on Computational Intelligence and Games
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
In this paper, we attempt to propose to use machine learning based on game contents with user's explicit preference (like or dislike). ...
It is not surprising that there are currently many game videos, increasingly prevalent on the web, to watch professional player's matches. ...
This is a special property of the game replay analysis. Each game is stored in the binary format of the StarCraft game replay. ...
doi:10.1109/cig.2014.6932883
dblp:conf/cig/KimK14
fatcat:kqvjo3fuvzflran7l5exfm2siq
ACognitive Approach to Game Usability and Design: Mental Model Development in Novice Real-Time Strategy Gamers
2006
CyberPsychology & Behavior
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2017; you can also visit the original URL.
The file type is application/pdf.
This research presents an opportunity for the design of games that are guided by shifts in a player's mental model as opposed to the typical progression through successive performance levels. ...
In the case of RTS games, the operator is the player and the target system is expressed by the relationships within the game. ...
ACKNOWLEDGMENTS Special thanks to Bill Brislin (RVMECH) for extensive scenario development and expert consultation on Command & Conquer Generals. ...
doi:10.1089/cpb.2006.9.361
pmid:16780404
fatcat:c6upmxfjo5ghfe53ox4ezqvvwu
From Chess and Atari to StarCraft and Beyond: How Game AI is Driving the World of AI
2020
Künstliche Intelligenz
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
Note that this fulltext copy is not of the "primary" version of this work. The version it corresponds to is:
2020 pre-print arXiv:2002.10433v1 fatcat:myfvg6uhnjbxvl7hcnxve2a7bm
Therefore, we put a focus on important recent developments, including that advances in Game AI are starting to be extended to areas outside of games, such as robotics or the synthesis of chemicals. ...
the future of Game AI. ...
Acknowledgements We would like to thank Mads Lassen, Rasmus Berg Palm, Niels Justesen, Georgios Yannakakis, Marwin Segler, and Christian Igel for comments on earlier drafts of this manuscript. ...
doi:10.1007/s13218-020-00647-w
fatcat:5apytyqvmbbm7a4fgqmtg423ui
Multi-agent Reinforcement Learning in Bayesian Stackelberg Markov Games for Adaptive Moving Target Defense
[article]
2020
arXiv
pre-print
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
We show that our learning approach converges to an SSE of a BSMG and then highlight that the learned movement policy (1) improves the state-of-the-art in MTD for web-application security and (2) converges ...
We situate BSMGs in the landscape of incomplete-information Markov games and characterize the notion of Strong Stackelberg Equilibrium (SSE) in them. ...
Acknowlegements The research is supported in part by ONR grants N00014-16-1-2892, N00014-18-1-2442, N00014-18-1-2840, N00014-19-1-2119, AFOSR grant FA9550-18-1-0067, DARPA SAIL-ON grant W911NF-19-2-0006 ...
arXiv:2007.10457v1
fatcat:ddz3g2cezza57lhf3tdhtdkwxa
Non-Linear Monte-Carlo Search in Civilization II
2011
International Joint Conference on Artificial Intelligence
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2014; you can also visit the original URL.
The file type is application/pdf.
Our non-linear Monte-Carlo search wins over 78% of games against the built-in AI of Civilization II. 1 ...
A further significant advantage of this approach is its ability to automatically extract and leverage domain knowledge from external sources such as game manuals. ...
Any opinions, findings, conclusions, or recommendations expressed in this paper are those of the authors, and do not necessarily reflect the views of the funding organizations. ...
doi:10.5591/978-1-57735-516-8/ijcai11-401
dblp:conf/ijcai/BranavanSB11
fatcat:tsn2ejf4zzdbjdlzp4wn536ely
Coordination in multiagent reinforcement learning
2003
Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
A repeated game is made up from repetitions of a single strategic (normal form/ matrix) game… Exploration vs. ...
[Chalkiadakis & Boutilier] Coordination in MARL: A Bayesian Approach ...
doi:10.1145/860575.860689
dblp:conf/atal/ChalkiadakisB03
fatcat:z25xhv4gorhi5hrti7ig5oysxq
Coordination in multiagent reinforcement learning
2003
Proceedings of the second international joint conference on Autonomous agents and multiagent systems - AAMAS '03
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2011; you can also visit the original URL.
The file type is application/pdf.
A repeated game is made up from repetitions of a single strategic (normal form/ matrix) game… Exploration vs. ...
[Chalkiadakis & Boutilier] Coordination in MARL: A Bayesian Approach ...
doi:10.1145/860685.860689
fatcat:odbwvlwvfje6xbyek6xaabikya
Game Plan: What AI can do for Football, and What Football can do for AI
2021
The Journal of Artificial Intelligence Research
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2021; you can also visit the original URL.
The file type is application/pdf.
More recently, AI techniques have been applied to football, due to a huge increase in data collection by professional teams, increased computational power, and advances in machine learning, with the goal ...
teams, spectators, and broadcasters in the years to come. ...
Football offers the opportunity for AI to evaluate multi-modal models on synthesized vision, audio, and text data in a unified (though simpler) domain than the broader real world. ...
doi:10.1613/jair.1.12505
fatcat:klaw7alkzrhp7kd7ebdefpxh7e
Neuroevolution Based Multi-Agent System with Ontology Based Template Creation for Micromanagement in Real-Time Strategy Games
2014
Information Technology and Control
Preserved Fulltext
A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2020; you can also visit the original URL.
The file type is application/pdf.
As a baseline we compared the in game AI as well as several other AI solutions that use adaptive mechanisms. ...
This paper presents a multi-agent system that handles unit micromanagement using online machine learning in real time strategy games. ...
The first is a full AI vs AI competition where the systems play the game from the beginning until one of them loses. ...
doi:10.5755/j01.itc.43.1.4600
fatcat:o4jpgyx5zfdq5dla2rj2zekn7e
« Previous
Showing results 1 — 15 out of 10,219 results