I am interested in multiagent coordination, reinforcement learning, hierarchical learning, game theory, and augmented reality applications. I am a strong believer that the intelligent agents of tomorrow must not only be proficient learners, but also capable collaborators and communicators.

01/2018 | Crossmodal Attentive Skill Learner was accepted to AAMAS 2018 as a full talk! |

12/2017 | Our paper Crossmodal Attentive Skill Learner was presented at NIPS 2017 as an oral talk at the Hierarchical Reinforcement Learning workshop, and as a poster at the Deep Reinforcement Learning Symposium. |

10/2017 | I passed my Ph.D. thesis proposal defense! |

08/2017 | Our paper on Multitask Multiagent Reinforcement Learning was presented at ICML 2017. |

06/2017 | I was proud to co-organize the Robot Communication in the Wild workshop at RSS 2017, held at MIT. Many fantastic presenters! |

05/2017 | Our 2 papers on decentralized decision-making using macro-observations and continuous observations were presented at ICRA 2017. |

03/2017 | Our paper integrating macro-actions into Dec-POMDP planning was accepted to IJRR! |

11/2016 | Our paper on augmented reality for rapid prototyping of robotics hardware was accepted into Control Systems Magazine, as cover article! Check out some videos of it in action here, here, and here! |

05/2016 | Our paper on graph-based multiagent decision making with macro-actions was presented at ICRA 2016! |

08/2015 | Wrapped up a internship at Qualcomm, working on deep learning-based perception for aerial robots. |

05/2015 | Our work introducing the Decentralized Partially Observable Semi-Markov Decision Process (Dec-POSMDP) was presented at ICRA 2015! |

Below is a selection of my publications. For full list, please visit my Google Scholar page.

Deep Decentralized Multitask Multiagent Reinforcement Learning under Partial Observability (ICML 2017)
Paper |

Decentralized Control of Partially Observable Markov Decision Processes using Belief Space Macro-actions (IJRR 2017)
Paper Video |

Semantic-level Decentralized Multi-Robot Decision-Making using Probabilistic Macro-Observations (ICRA 2017)
Paper Video |

Below is a selection of courses I have taken at MIT and University of Toronto.

AI, Controls, Computer Science |
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Principals of Autonomy & Decision Making |

Algorithmic Game Theory & Data Science |

Computational Cognitive Science |

Machine Learning |

Systems Optimization |

Stochastic Estimation & Control |

Principles of Optimal Control |

Feedback Control Systems |

Foundations of Planning Algorithms (audited) |

Advances in Computer Vision (audited) |

Spacecraft Dynamics & Control |

Control Systems |

Space Systems Design |

Engineering Design |

Scientific Computing |

Digital & Computer Systems |

Computer Programming & Data Structures |

Math & Finance |
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Nonlinear Optimization |

Probability & Statistics in Engineering |

Probability & Statistics |

Vector Calculus & Fluid Mechanics |

Partial Differential Equations |

Complex Analysis |

Calculus III |

Calculus II |

Calculus I |

Matrix & Vector Algebra |

Linear Algebra |

Mathematical Theory of Finance |

Economic Analysis & Decision Making |

Physics & Aero/Astro |
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Dynamics |

Classical Mechanics |

Aerodynamics |

Aerospace Propulsion |

Gasdynamics |

Combustion Processes |

Thermodynamics |

Origin & Evolution of the Universe |

Relativity |

Quantum & Thermal Physics |

Waves & Modern Physics |

Fundamentals of Electric Circuits |

Electricity & Magnetism |

Molecules & Materials |

Advanced Mechanics Of Structures |

Mechanics of Solids & Structures |

Structures & Materials |