Driving in Real Life with Inverse Reinforcement Learning

no code implementations • 7 Jun 2022 • Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S. Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, Robert Beaudoin, Bo Yang, Sammy Omari, Eric M. Wolff

In this paper, we introduce the first learning-based planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL).

Autonomous Driving Imitation Learning +2

Solving Temporal Puzzles

no code implementations • CVPR 2016 • Caglayan Dicle, Burak Yilmaz, Octavia Camps, Mario Sznaier

Many physical phenomena, within short time windows, can be explained by low order differential relations.

Time Series Time Series Analysis

Self Scaled Regularized Robust Regression

no code implementations • CVPR 2015 • Yin Wang, Caglayan Dicle, Mario Sznaier, Octavia Camps

Linear Robust Regression (LRR) seeks to find the parameters of a linear mapping from noisy data corrupted from outliers, such that the number of inliers (i. e. pairs of points where the fitting error of the model is less than a given bound) is maximized.

regression