Maturana, Daniel

3 publications

CoRL 2018 Integrating Kinematics and Environment Context into Deep Inverse Reinforcement Learning for Predicting Off-Road Vehicle Trajectories Yanfu Zhang, Wenshan Wang, Rogerio Bonatti, Daniel Maturana, Sebastian A. Scherer

ICML 2017 Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning Using the Beta Distribution Po-Wei Chou, Daniel Maturana, Sebastian Scherer

CVPR 2014 Seeing 3D Chairs: Exemplar Part-Based 2D-3D Alignment Using a Large Dataset of CAD Models Mathieu Aubry, Daniel Maturana, Alexei A. Efros, Bryan C. Russell, Josef Sivic