Regret minimization is a key component of many algorithms for finding Na...
Games have a long history of serving as a benchmark for progress in
arti...
From the very dawn of the field, search with value functions was a
funda...
For artificially intelligent learning systems to have widespread
applica...
Regret minimization has played a key role in online learning, equilibriu...
Search has played a fundamental role in computer game research since the...
A common metric in games of imperfect information is exploitability, i.e...
Extensive-form games (EFGs) are a common model of multi-agent interactio...
Multiagent decision-making problems in partially observable environments...
The CFR+ algorithm for solving imperfect information games is a variant ...
Learning strategies for imperfect information games from samples of
inte...
Artificial intelligence has seen several breakthroughs in recent years, ...
Evaluating agent performance when outcomes are stochastic and agents use...
Several large cloze-style context-question-answer datasets have been
int...
This paper presents results of our experiments for the next utterance ra...