Jason Pazis

Publication Activity (10 Years)

Years Active: 2009-2020
Publications (10 Years): 8

Top Venues

AAAI

CoRR

ICRA

Auton. Agents Multi Agent Syst.

Duke University, Durham, NC, USA (PHD)

Education History

Duke University, Durham, NC, USA

PHD

Publications

Dong-Ki Kim, Shayegan Omidshafiei, Jason Pazis, Jonathan P. How
Crossmodal attentive skill learner: learning in Atari and beyond with audio-video inputs. Auton. Agents Multi Agent Syst. 34 (1) (2020)
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
Crossmodal Attentive Skill Learner. AAMAS (2018)
Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML (2017)
Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR (2017)
Shayegan Omidshafiei, Dong-Ki Kim, Jason Pazis, Jonathan P. How
Crossmodal Attentive Skill Learner. CoRR (2017)
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
Duckietown: An open, inexpensive and flexible platform for autonomy education and research. ICRA (2017)
Jason Pazis, Ronald Parr, Jonathan P. How
Improving PAC Exploration Using the Median Of Means. NIPS (2016)
Jason Pazis, Ronald Parr
Efficient PAC-Optimal Exploration in Concurrent, Continuous State MDPs with Delayed Updates. AAAI (2016)
Jason Pazis, Ronald Parr
Sample Complexity and Performance Bounds for Non-Parametric Approximate Linear Programming. AAAI (2013)
Jason Pazis, Ronald Parr
PAC Optimal Exploration in Continuous Space Markov Decision Processes. AAAI (2013)
Jason Pazis, Michail G. Lagoudakis
Reinforcement learning in multidimensional continuous action spaces. ADPRL (2011)
Jason Pazis, Ronald Parr
Generalized Value Functions for Large Action Sets. ICML (2011)
Jason Pazis, Ronald Parr
Non-Parametric Approximate Linear Programming for MDPs. AAAI (2011)
Jason Pazis, Michail G. Lagoudakis
Binary action search for learning continuous-action control policies. ICML (2009)
Jason Pazis, Michail G. Lagoudakis
Learning continuous-action control policies. ADPRL (2009)

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Publication Activity (10 Years)

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Jason Pazis