no code implementations • 10 Nov 2023 • Johan Engström, Ran Wei, Anthony McDonald, Alfredo Garcia, Matt O'Kelly, Leif Johnson
Understanding adaptive human driving behavior, in particular how drivers manage uncertainty, is of key importance for developing simulated human driver models that can be used in the evaluation and development of autonomous vehicles.
1 code implementation • 10 Oct 2023 • Ran Wei, Nathan Lambert, Anthony McDonald, Alfredo Garcia, Roberto Calandra
Model-based Reinforcement Learning (MBRL) aims to make agents more sample-efficient, adaptive, and explainable by learning an explicit model of the environment.
2 code implementations • 15 Sep 2023 • Ran Wei, Siliang Zeng, Chenliang Li, Alfredo Garcia, Anthony McDonald, Mingyi Hong
We consider a Bayesian approach to offline model-based inverse reinforcement learning (IRL).