Inverse Rational Control: Inferring What You Think from How You Forage

Dynamic programming

R Bellman · 1957

Earlier work this paper cites.

Dynamic programming and Markov processes

Ronald A Howard · 1964

Earlier work this paper cites.

Maximum likelihood from incomplete data via the EM algorithm

Arthur P Dempster, Nan M Laird, and Donald B Rubin · 1977

Earlier work this paper cites.

Learning agents for uncertain environments

Stuart Russell · 1998

Earlier work this paper cites.

Matching behavior and the representation of value in the parietal cortex

Leo P Sugrue, Greg S Corrado, and William T Newsome · 2004

Earlier work this paper cites.

Observing the observer (I): Meta-Bayesian models of learning and decision-making

Jean Daunizeau, Hanneke EM Den Ouden, Matthias Pessiglione, Stefan J Kiebel, Klaas E Stephan, and Karl J Friston · 2010

Earlier work this paper cites.

Mind reading by machine learning: A doubly Bayesian method for inferring mental representations

Ferenc Huszár, Uta Noppeney, and Máté Lengyel · 2010

Earlier work this paper cites.

Inverse optimal control with linearly-solvable mdps

Krishnamurthy Dvijotham and Emanuel Todorov · 2010

Cited alongside, same era.

Bayesian theory of mind: Modeling joint belief-desire attribution

Chris Baker, Rebecca Saxe, and Joshua Tenenbaum · 2011

Cited alongside, same era.

Inverse reinforcement learning in partially observable environments

Jaedeug Choi and Kee-Eung Kim · 2011

Cited alongside, same era.

Apprenticeship learning about multiple intentions

Monica Babes, Vukosi Marivate, Kaushik Subramanian, and Michael L Littman · 2011

Cited alongside, same era.

Machine learning, a probabilistic perspective, 2014

Christian Robert · 2014

Cited alongside, same era.

Inferring learners’ knowledge from their actions

Anna N Rafferty, Michelle M LaMar, and Thomas L Griffiths · 2015

Cited alongside, same era.

Inverse reinforcement learning with simultaneous estimation of rewards and dynamics

Michael Herman, Tobias Gindele, Jörg Wagner, Felix Schmitt, and Wolfram Burgard · 2016

Later among the works it cites.

Rational quantitative attribution of beliefs, desires and percepts in human mentalizing

Chris L Baker, Julian Jara-Ettinger, Rebecca Saxe, and Joshua B Tenenbaum · 2017

Later among the works it cites.

I see what you see: Inferring sensor and policy models of human real-world motor behavior

Felix Schmitt, Hans-Joachim Bieg, Michael Herman, and Constantin A Rothkopf · 2017

Later among the works it cites.

Where do you think you’re going?: Inferring beliefs about dynamics from behavior

Sid Reddy, Anca Dragan, and Sergey Levine · 2018

Closest in time.

A bias–variance trade-off governs individual differences in on-line learning in an unpredictable environment

Christopher M Glaze, Alexandre LS Filipowicz, Joseph W Kable, Vijay Balasubramanian, and Joshua I Gold · 2018

Closest in time.