Daniel Maturana

3 papers · 2014–2018 · 3 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (3) 🐝 Cross-Pollinator (11) 🌉 Interdisciplinary Bridge 📈 Trend Setter

Conferences

CORL (1) CVPR (1) ICML (1)

Top co-authors

Sebastian Scherer (2) Bryan C. Russell (1) Po-Wei Chou (1) Josef Sivic (1) Yanfu Zhang (1) Wenshan Wang (1) Mathieu Aubry (1) Alexei A. Efros (1) Rogerio Bonatti (1)

Research topics

Reinforcement Learning (1)

Keywords

deep reinforcement learning (1) object detection (1) trajectory prediction (1) inverse reinforcement learning (1) continuous control (1) reward function (1) viewpoint estimation (1) part-based model (1) autonomous vehicle (1) cad model (1) trust region policy optimization (1) beta distribution (1) stochastic policy gradient (1) off-road vehicle (1) 3d alignment (1)

Papers

Integrating kinematics and environment context into deep inverse reinforcement learning for predicting off-road vehicle trajectories CORL 2018

Improving Stochastic Policy Gradients in Continuous Control with Deep Reinforcement Learning using the Beta Distribution ICML 2017

Seeing 3D Chairs: Exemplar Part-based 2D-3D Alignment using a Large Dataset of CAD Models CVPR 2014