Learning Models of Individual Behavior in Chess. (arXiv:2008.10086v3 [cs.AI] UPDATED)

Web: http://arxiv.org/abs/2008.10086

AI systems that can capture human-like behavior are becoming increasingly
useful in situations where humans may want to learn from these systems,
collaborate with them, or engage with them as partners for an extended
duration. In order to develop human-oriented AI systems, the problem of
predicting human actions -- as opposed to predicting optimal actions -- has
received considerable attention. Existing work has focused on capturing human
behavior in an aggregate sense, which potentially limits the benefit any
particular individual …

ai arxiv behavior chess learning models