LESS is More: Rethinking Probabilistic Models of Human Behavior

no code implementations • 13 Jan 2020 • Andreea Bobu, Dexter R. R. Scobee, Jaime F. Fisac, S. Shankar Sastry, Anca D. Dragan

A common model is the Boltzmann noisily-rational decision model, which assumes people approximately optimize a reward function and choose trajectories in proportion to their exponentiated reward.

Econometrics

Maximum Likelihood Constraint Inference for Inverse Reinforcement Learning

no code implementations • ICLR 2020 • Dexter R. R. Scobee, S. Shankar Sastry

While most approaches to the problem of Inverse Reinforcement Learning (IRL) focus on estimating a reward function that best explains an expert agent's policy or demonstrated behavior on a control task, it is often the case that such behavior is more succinctly represented by a simple reward combined with a set of hard constraints.

reinforcement-learning Reinforcement Learning (RL)