4 papers
Recursive Joint Simulation in Games
Vojtech Kovarik, Caspar Oesterheld, Vincent Conitzer
Game-theoretic dynamics between AI agents could differ from traditional human-human interactions in various ways. One such difference is that it may be possible to accurately simul…
AI Testing Should Account for Sophisticated Strategic Behaviour
Vojtech Kovarik, Eric Olav Chen, Sami Petersen +2
This position paper argues for two claims regarding AI testing and evaluation. First, to remain informative about deployment behaviour, evaluations need account for the possibility…
Adapting Beyond the Depth Limit: Counter Strategies in Large Imperfect Information Games
David Milec, VojtÄch KovaÅÃk, Viliam Lisý
We study the problem of adapting to a known sub-rational opponent during online play while remaining robust to rational opponents. We focus on large imperfect-information (zero-sum…
Game Theory with Simulation in the Presence of Unpredictable Randomisation
Vojtech Kovarik, Nathaniel Sauerberg, Lewis Hammond +1
AI agents will be predictable in certain ways that traditional agents are not. Where and how can we leverage this predictability in order to improve social welfare? We study this q…