4 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.LG2021
Inverse Reinforcement Learning with Explicit Policy Estimates
Navyata Sanghvi, Shinnosuke Usami, Mohit Sharma +2
Various methods for solving the inverse reinforcement learning (IRL) problem have been developed independently in machine learning and economics. In particular, the method of Maxim…
cs.AI2017★ 4 cited
Inverse Reinforcement Learning with Conditional Choice Probabilities
Mohit Sharma, Kris M. Kitani, Joachim Groeger
We make an important connection to existing results in econometrics to describe an alternative formulation of inverse reinforcement learning (IRL). In particular, we describe an al…
econ.GN2016
The Informational Content of the Limit Order Book: An Empirical Study of Prediction Markets
Joachim R. Groeger
In this paper I empirically investigate prediction markets for binary options. Advocates of prediction markets have suggested that asset prices are consistent estimators of the "tr…