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2020 – today
- 2020
[c20]Steven Beland, Isaac Chang, Alexander Chen, Matthew Moser, James L. Paunicka, Douglas Stuart, John Vian, Christina Westover, Huafeng Yu:
Towards Assurance Evaluation of Autonomous Systems. ICCAD 2020: 84:1-84:6
2010 – 2019
- 2017
- [j4]Shayegan Omidshafiei, Ali-Akbar Agha-Mohammadi, Christopher Amato
, Shih-Yuan Liu, Jonathan P. How, John Vian:
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions. Int. J. Robotics Res. 36(2): 231-258 (2017) - [c19]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. ICML 2017: 2681-2690 - [c18]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable accelerated decentralized multi-robot policy search in continuous observation spaces. ICRA 2017: 863-870 - [c17]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations. ICRA 2017: 871-878 - [i4]Shayegan Omidshafiei, Shih-Yuan Liu, Michael Everett, Brett Thomas Lopez, Christopher Amato, Miao Liu, Jonathan P. How, John Vian:
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations. CoRR abs/1703.05623 (2017) - [i3]Shayegan Omidshafiei, Christopher Amato, Miao Liu, Michael Everett, Jonathan P. How, John Vian:
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces. CoRR abs/1703.05626 (2017) - [i2]Shayegan Omidshafiei, Jason Pazis, Christopher Amato, Jonathan P. How, John Vian:
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability. CoRR abs/1703.06182 (2017) - 2016
- [c16]Shayegan Omidshafiei, Ali-akbar Agha-mohammadi, Christopher Amato, Shih-Yuan Liu, Jonathan P. How, John Vian:
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs. ICRA 2016: 5395-5402 - [i1]Shayegan Omidshafiei, Brett Thomas Lopez, Jonathan P. How, John Vian:
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification. CoRR abs/1605.01042 (2016) - 2015
- [j3]N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian:
Health Aware Planning Under Uncertainty for Collaborating Heterogeneous Teams of Mobile Agents. Unmanned Syst. 3(2): 89-107 (2015) - [c15]N. Kemal Ure, Jonathan P. How, John Vian:
Randomized Coordination Search for Scalable Multiagent Planning. AAMAS 2015: 1793-1794 - [c14]N. Kemal Ure, Shayegan Omidshafiei, Brett Thomas Lopez, Ali-akbar Agha-mohammadi, Jonathan P. How, John Vian:
Online heterogeneous multiagent learning under limited communication with applications to forest fire management. IROS 2015: 5181-5188 - 2014
- [j2]N. Kemal Ure, Girish Chowdhary, Yu Fan Chen, Jonathan P. How, John Vian:
Distributed Learning for Planning Under Uncertainty Problems with Heterogeneous Teams - Scaling Up the Multiagent Planning with Distributed Learning and Approximate Representations. J. Intell. Robotic Syst. 74(1-2): 529-544 (2014) - [c13]Yu Fan Chen, N. Kemal Ure, Girish Chowdhary, Jonathan P. How, John Vian:
Planning for large-scale multiagent problems via hierarchical decomposition with applications to UAV health management. ACC 2014: 1279-1285 - [c12]Ali-akbar Agha-mohammadi, N. Kemal Ure, Jonathan P. How, John Vian:
Health aware stochastic planning for persistent package delivery missions using quadrotors. IROS 2014: 3389-3396 - 2013
- [c11]N. Kemal Ure, Girish Chowdhary, Jonathan P. How, Matthew A. Vavrina, John Vian:
Health Aware Planning under uncertainty for UAV missions with heterogeneous teams. ECC 2013: 3312-3319 - 2012
- [j1]Nikhil Nigam, Stefan R. Bieniawski, Ilan Kroo, John Vian:
Control of Multiple UAVs for Persistent Surveillance: Algorithm and Flight Test Results. IEEE Trans. Control. Syst. Technol. 20(5): 1236-1251 (2012) - [c10]Joshua D. Redding, N. Kemal Ure, Jonathan P. How, Matthew A. Vavrina, John Vian:
Scalable, MDP-based planning for multiple, cooperating agents. ACC 2012: 6011-6016 - 2011
- [c9]Joshua D. Redding, Zac Dydek, Jonathan P. How, Matthew A. Vavrina, John Vian:
Proactive planning for persistent missions using composite model-reference adaptive control and approximate dynamic programming. ACC 2011: 2332-2337 - 2010
- [c8]Brett Bethke, Joshua D. Redding, Jonathan P. How, Matthew A. Vavrina, John Vian:
Agent capability in persistent mission planning using approximate dynamic programming. ACC 2010: 1623-1628 - [c7]Sameera S. Ponda, Josh Redding, Han-Lim Choi, Jonathan P. How, Matthew A. Vavrina, John Vian:
Decentralized planning for complex missions with dynamic communication constraints. ACC 2010: 3998-4003 - [c6]Christopher W. Lum, Juris Vagners, Jung Soon Jang, John Vian:
Partitioned searching and deconfliction: Analysis and flight tests. ACC 2010: 6409-6416
2000 – 2009
- 2008
- [c5]Brett Bethke, Jonathan P. How, John Vian:
Group health management of UAV teams with applications to persistent surveillance. ACC 2008: 3145-3150 - [c4]Christopher G. Valicka, Dusan M. Stipanovic, Stefan R. Bieniawski, John Vian:
Cooperative avoidance control for UAVs. ICARCV 2008: 1462-1468 - 2007
- [c3]Mario J. Valenti, Brett Bethke, Jonathan P. How, Daniela Pucci de Farias, John Vian:
Embedding Health Management into Mission Tasking for UAV Teams. ACC 2007: 5777-5783 - [c2]Mario J. Valenti, Brett Bethke, Daniel Dale, Adrian A. Frank, James S. McGrew, Spencer Ahrens, Jonathan P. How, John Vian:
The MIT Indoor Multi-Vehicle Flight Testbed. ICRA 2007: 2758-2759 - 2006
- [c1]Alexander Bogdanov, Stephen Chiu, Levent U. Gökdere, John Vian:
Stochastic Optimal Control of a Servo Motor with a Lifetime Constraint. CDC 2006: 4182-4187
Coauthor Index
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