John Vian

Boeing (Australia) — Australia

Computer Science · Physical Sciences

23h-index3.3kcitations118works0.02yr avg
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Research Topics

Robotic Path Planning Algorithms(28), Reinforcement Learning in Robotics(22), Distributed Control Multi-Agent Systems(11), Target Tracking and Data Fusion in Sensor Networks(11), Fault Detection and Control Systems(11)

Publications118 total

Towards assurance evaluation of autonomous systems
2020· 9 cited
Semantic-level decentralized multi-robot decision-making using probabilistic macro-observations
2017· 4 citedOpen Access
Scalable accelerated decentralized multi-robot policy search in continuous observation spaces
2017· 2 citedOpen Access
Deep Decentralized Multi-task Multi-Agent RL under Partial Observability
arXiv (Cornell University)·2017· 17 citedOpen Access
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under Partial Observability
arXiv (Cornell University)·2017· 188 citedOpen Access
Deep Decentralized Multi-task Multi-Agent Reinforcement Learning under\n Partial Observability
arXiv (Cornell University)·2017· 2 citedOpen Access
Scalable Accelerated Decentralized Multi-Robot Policy Search in Continuous Observation Spaces
arXiv (Cornell University)·2017· 1 citedOpen Access
Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations
arXiv (Cornell University)·2017· 2 citedOpen Access
Scalable Accelerated Decentralized Multi-Robot Policy Search in\n Continuous Observation Spaces
arXiv (Cornell University)·2017Open Access
Semantic-level Decentralized Multi-Robot Decision-Making using\n Probabilistic Macro-Observations
arXiv (Cornell University)·2017Open Access
Decentralized control of multi-robot partially observable Markov decision processes using belief space macro-actions
The International Journal of Robotics Research·2017· 59 cited
Measurable Augmented Reality for Prototyping Cyberphysical Systems: A Robotics Platform to Aid the Hardware Prototyping and Performance Testing of Algorithms
IEEE Control Systems·2016· 20 cited
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic\n Object Classification
arXiv (Cornell University)·2016· 7 citedOpen Access
Hierarchical Bayesian Noise Inference for Robust Real-time Probabilistic Object Classification
arXiv (Cornell University)·2016· 4 citedOpen Access
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs
2016· 17 cited
Graph-based Cross Entropy method for solving multi-robot decentralized POMDPs
DSpace@MIT (Massachusetts Institute of Technology)·2016· 8 citedOpen Access
Health-Aware Multi-UAV Planning using Decentralized Partially Observable Semi-Markov Decision Processes
AIAA Infotech @ Aerospace·2016· 8 cited
Best Practices—Direct Emulsion-Based Drilling Solution as a New Approach to Drilling in Mature Fields with Low Reservoir Pressure
SPE Russian Petroleum Technology Conference·2015· 3 cited
Online heterogeneous multiagent learning under limited communication with applications to forest fire management
2015· 14 cited
Decision Making Under Uncertainty: Theory and Application
2015· 308 cited
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Frequent Co-authors

Jonathan P. How(28), Nazım Kemal Üre(11), Shayegan Omidshafiei(9), Ali‐akbar Agha‐mohammadi(8), Christopher Amato(7), Girish Chowdhary(7), Yu Fan Chen(6), Stefan Bieniawski(5), Matthew A. Vavrina(5), Joshua Redding(4), Brett Bethke(4), Shih‐Yuan Liu(4), Emad Saad(4), Donald C. Wunsch(4), Daniel Dale(3), Mario Valenti(3), L.U. Gokdere(3), S. Chiu(3), Kirby Keller(3), Rajeev Surati(3)