most citedCounter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.MA2012★ 2 cited

Counter-Factual Reinforcement Learning: How to Model Decision-Makers That Anticipate The Future

Ritchie Lee, David H. Wolpert, James Bono +3

This paper introduces a novel framework for modeling interacting humans in a multi-stage game. This "iterated semi network-form game" framework has the following desirable characte…