Jason Pazis

According to our database, Jason Pazis authored at least 14 papers between 2009 and 2020.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2020

Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs.

Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How

Auton. Agents Multi Agent Syst., 2020

2018

Crossmodal Attentive Skill Learner.

Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

2017

Duckietown: An open, inexpensive and flexible platform for autonomy education and research.

Liam Paull, Jacopo Tani, Heejin Ahn, Javier Alonso-Mora, Luca Carlone, Michal Cáp, 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

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability.

Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian

Proceedings of the 34th International Conference on Machine Learning, 2017

2016

Improving PAC Exploration Using the Median Of Means.

Jason Pazis, Ronald Parr, Jonathan P. How

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates.

Jason Pazis, Ronald Parr

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

PAC-optimal, Non-parametric Algorithms and Bounds for Exploration in Concurrent MDPs with Delayed Updates.

Jason Pazis

PhD thesis, 2015

2013

Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming.

Jason Pazis, Ronald Parr

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

PAC Optimal Exploration in Continuous Space Markov Decision Processes.

Jason Pazis, Ronald Parr

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2011

Generalized Value Functions for Large Action Sets.

Jason Pazis, Ronald Parr

Proceedings of the 28th International Conference on Machine Learning, 2011

Reinforcement learning in multidimensional continuous action spaces.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

Non-Parametric Approximate Linear Programming for MDPs.

Jason Pazis, Ronald Parr

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2009

Binary action search for learning continuous-action control policies.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the 26th Annual International Conference on Machine Learning, 2009

Learning continuous-action control policies.

Jason Pazis, Michail G. Lagoudakis

Proceedings of the IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, 2009