Jason Pazis
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
8
Venues
3
Active years
2009–2017
Best venue rank
A*
Where they publish
Papers
8 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2017 | ICML | Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. | Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian |
| 2017 | ICRA | Duckietown: An open, inexpensive and flexible platform for autonomy education and research. | Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cp, Yu Fan Chen, Changhyun Choi, Jeff Dusek, Yajun Fang, Daniel Hoehener, Shih-Yuan Liu, Michael Novitzky, Igor Franzoni Okuyama, Jason Pazis, Guy Rosman, Valerio Varricchio, Hsueh-Cheng Wang, Dmitry S. Yershov, Hang Zhao, Michael Benjamin, Christopher Carr, Maria T. Zuber, Sertac Karaman, Emilio Frazzoli, Domitilla Del Vecchio, Daniela Rus, Jonathan P. How, John J. Leonard, Andrea Censi |
| 2016 | AAAI | Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates. | Jason Pazis, Ronald Parr |
| 2013 | AAAI | PAC Optimal Exploration in Continuous Space Markov Decision Processes. | Jason Pazis, Ronald Parr |
| 2013 | AAAI | Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming. | Jason Pazis, Ronald Parr |
| 2011 | AAAI | Non-Parametric Approximate Linear Programming for MDPs. | Jason Pazis, Ronald Parr |
| 2011 | ICML | Generalized Value Functions for Large Action Sets. | Jason Pazis, Ronald Parr |
| 2009 | ICML | Binary action search for learning continuous-action control policies. | Jason Pazis, Michail G. Lagoudakis |