J. Michael Harrison

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All published works
Action Title Year Authors
+ PDF Chat Offline Hierarchical Reinforcement Learning via Inverse Optimization 2024 Carolin Schmidt
Daniele Gammelli
J. Michael Harrison
Marco Pavone
Filipe Rodrigues
+ PDF Chat Long-Horizon Planning for Multi-Agent Robots in Partially Observable Environments 2024 Siddharth Nayak
Adelmo Morrison Orozco
Marina Ten Have
Vittal Thirumalai
Jackson Zhang
Dar‐Ren Chen
Aditya Kapoor
Eric Robinson
Karthik Gopalakrishnan
J. Michael Harrison
+ Drift Control of High-Dimensional RBM: A Computational Method Based on Neural Networks 2023 Barış Ata
J. Michael Harrison
Nian Si
+ Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications 2023 Barış Ata
J. Michael Harrison
Nian Si
+ PDF Chat Bayesian Embeddings for Few-Shot Open World Recognition 2022 John Willes
J. Michael Harrison
Ali Harakeh
Chelsea Finn
Marco Pavone
Steven L. Waslander
+ PDF Chat Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-on-Demand 2022 Daniele Gammelli
Kaidi Yang
J. Michael Harrison
Filipe Rodrigues
Francisco C. Pereira
Marco Pavone
+ PDF Chat Adaptive Robust Model Predictive Control with Matched and Unmatched Uncertainty 2022 Rohan Sinha
J. Michael Harrison
Spencer M. Richards
Marco Pavone
+ PDF Chat Safe Active Dynamics Learning and Control: A Sequential Exploration–Exploitation Framework 2022 Thomas Lew
Apoorva Sharma
J. Michael Harrison
Andrew Bylard
Marco Pavone
+ PDF Chat Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems 2021 Daniele Gammelli
Kaidi Yang
J. Michael Harrison
Filipe Rodrigues
Francisco C. Pereira
Marco Pavone
+ Reflected Brownian motion in the quarter plane: An equivalence based on time reversal 2021 J. Michael Harrison
+ On the Problem of Reformulating Systems with Uncertain Dynamics as a Stochastic Differential Equation 2021 Thomas Lew
Apoorva Sharma
J. Michael Harrison
Edward Schmerling
Marco Pavone
+ PDF Chat Particle MPC for Uncertain and Learning-Based Control 2021 Robert Dyro
J. Michael Harrison
Apoorva Sharma
Marco Pavone
+ PDF Chat Network offloading policies for cloud robotics: a learning-based approach 2021 Sandeep Chinchali
Apoorva Sharma
J. Michael Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
+ Graph Neural Network Reinforcement Learning for Autonomous Mobility-on-Demand Systems 2021 Daniele Gammelli
Kaidi Yang
J. Michael Harrison
Filipe Rodrigues
Francisco C. Pereira
Marco Pavone
+ Particle MPC for Uncertain and Learning-Based Control. 2021 Robert Dyro
J. Michael Harrison
Apoorva Sharma
Marco Pavone
+ Proving Fluid Model Stability Using Lyapunov Functions 2020 J. G. Dai
J. Michael Harrison
+ Convergent Square Matrices 2020 J. G. Dai
J. Michael Harrison
+ Fluid Equations That Characterize Specific Policies 2020 J. G. Dai
J. Michael Harrison
+ Is Stability Achievable? 2020 J. G. Dai
J. Michael Harrison
+ Fluid Limits, Fluid Equations, and Positive Recurrence 2020 J. G. Dai
J. Michael Harrison
+ Markovian Arrival Processes 2020 J. G. Dai
J. Michael Harrison
+ Extensions and Complements 2020 J. G. Dai
J. Michael Harrison
+ Selected Topics in Real Analysis 2020 J. G. Dai
J. Michael Harrison
+ Introduction 2020 J. G. Dai
J. Michael Harrison
+ Discrete-Time Markov Chains 2020 J. G. Dai
J. Michael Harrison
+ Index 2020 J. G. Dai
J. Michael Harrison
+ Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. 2020 Thomas Lew
Apoorva Sharma
J. Michael Harrison
Marco Pavone
+ PDF Chat Meta-learning Priors for Efficient Online Bayesian Regression 2020 J. Michael Harrison
Apoorva Sharma
Marco Pavone
+ Deep Reinforcement Learning amidst Lifelong Non-Stationarity 2020 Annie Xie
J. Michael Harrison
Chelsea Finn
+ Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics 2020 Somrita Banerjee
J. Michael Harrison
P. Michael Furlong
Marco Pavone
+ Continuous Meta-Learning without Tasks 2020 J. Michael Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
+ Continuous Meta-Learning without Tasks 2019 J. Michael Harrison
Apoorva Sharma
Chelsea Finn
Marco Pavone
+ PDF Chat AdaPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems 2019 J. Michael Harrison
Animesh Garg
Boris Ivanovic
Yuke Zhu
Silvio Savarese
Li Fei-Fei
Marco Pavone
+ PDF Chat Robust and Adaptive Planning under Model Uncertainty 2019 Apoorva Sharma
J. Michael Harrison
Matthew Tsao
Marco Pavone
+ Network Offloading Policies for Cloud Robotics: A Learning-Based Approach 2019 Sandeep Chinchali
Apoorva Sharma
J. Michael Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
+ PDF Chat BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning 2019 Boris Ivanovic
J. Michael Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
+ Network Offloading Policies for Cloud Robotics: a Learning-based Approach 2019 Sandeep Chinchali
Apoorva Sharma
J. Michael Harrison
Amine Elhafsi
Daniel Kang
Evgenya Pergament
Eyal Cidon
Sachin Katti
Marco Pavone
+ Robust and Adaptive Planning under Model Uncertainty 2019 Apoorva Sharma
J. Michael Harrison
Matthew Tsao
Marco Pavone
+ Meta-Learning Priors for Efficient Online Bayesian Regression 2018 J. Michael Harrison
Apoorva Sharma
Marco Pavone
+ BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning 2018 Boris Ivanovic
J. Michael Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
+ PDF Chat Learning Sampling Distributions for Robot Motion Planning 2018 Brian Ichter
J. Michael Harrison
Marco Pavone
+ ADAPT: Zero-Shot Adaptive Policy Transfer for Stochastic Dynamical Systems 2017 J. Michael Harrison
Animesh Garg
Boris Ivanovic
Yuke Zhu
Silvio Savarese
Li Fei-Fei
Marco Pavone
+ HAVING EXPONENTIAL STATIONARY DISTRIBUTIONS 2016 J. Michael Harrison
Ruth Williams
+ Reflecting Brownian motion in three dimensions: a new proof of sufficient conditions for positive recurrence 2012 J. G. Dai
J. Michael Harrison
+ PDF Chat Positive recurrence of reflecting Brownian motion in three dimensions 2010 Maury Bramson
J. G. Dai
J. Michael Harrison
+ Reflected Brownian motion in the quadrant: tail behavior of the stationary distribution 2008 J. Michael Harrison
John J. Hasenbein
+ PDF Chat Correction: Brownian models of open processing networks: canonical representation of workload 2006 J. Michael Harrison
+ PDF Chat Workload reduction of a generalized Brownian network 2005 J. Michael Harrison
Ruth Williams
+ PDF Chat Drift rate control of a Brownian processing system 2005 Barış Ata
J. Michael Harrison
L. A. Shepp
+ PDF Chat A multiclass closed queueing network with unconventional heavy traffic behavior 1996 J. Michael Harrison
Ruth Williams
+ Brownian models of closed queueing networks with homogeneous customer populations 1990 J. Michael Harrison
Ruth Williams
H. Chen
+ PDF Chat Brownian models of open queueing networks with homogeneous customer populations<sup>∗</sup> 1987 J. Michael Harrison
Ruth Williams
+ PDF Chat Multidimensional Reflected Brownian Motions Having Exponential Stationary Distributions 1987 J. Michael Harrison
Ruth Williams
+ PDF Chat The Stationary Distribution of Reflected Brownian Motion in a Planar Region 1985 J. Michael Harrison
H. J. Landau
L. A. Shepp
+ A tandem storage system and its diffusion limit 1984 J. Michael Harrison
L. A. Shepp
+ Instantaneous Control of Brownian Motion 1983 J. Michael Harrison
Michael Taksar
+ A note on networks of infinite-server queues 1981 J. Michael Harrison
Austin J. Lemoine
+ A note on networks of infinite-server queues 1981 J. Michael Harrison
Austin J. Lemoine
+ PDF Chat On Skew Brownian Motion 1981 J. Michael Harrison
L. A. Shepp
+ PDF Chat Reflected Brownian Motion on an Orthant 1981 J. Michael Harrison
Martin I. Reiman
+ Sticky Brownian motion as the limit of storage processes 1981 J. Michael Harrison
Austin J. Lemoine
+ Sticky Brownian motion as the limit of storage processes 1981 J. Michael Harrison
Austin J. Lemoine
+ The stationary distribution and recurrence classification of a storage process with general release rule 1978 J. Michael Harrison
Sidney I. Resnick
+ The stationary distribution and recurrence classification of a storage process with general release rule 1978 J. Michael Harrison
Sidney I. Resnick
+ Optimal control of a Brownian storage system 1978 J. Michael Harrison
Allison J. Taylor
+ Limit theorems for periodic queues 1977 J. Michael Harrison
Austin J. Lemoine
+ Limit theorems for periodic queues 1977 J. Michael Harrison
Austin J. Lemoine
+ The supremum distribution of a Lévy process with no negative jumps 1977 J. Michael Harrison
+ The supremum distribution of a Lévy process with no negative jumps 1977 J. Michael Harrison
+ Ruin problems with compounding assets 1977 J. Michael Harrison
Common Coauthors
Commonly Cited References
Action Title Year Authors # of times referenced
+ PDF Chat Convergence of Probability Measures 1999 Patrick Billingsley
16
+ PDF Chat Open, Closed, and Mixed Networks of Queues with Different Classes of Customers 1975 Forest Baskett
K. Mani Chandy
Richard R. Muntz
Fernando G. Palacios
15
+ PDF Chat Lyapunov Functions for Semimartingale Reflecting Brownian Motions 1994 Paul Dupuis
Ruth Williams
13
+ Variational Analysis 1998 R. T. Rockafellar
Roger J.‐B. Wets
12
+ Networks of Waiting Lines 1957 James R. Jackson
12
+ Stability and convergence of moments for multiclass queueing networks via fluid limit models 1995 J. G. Dai
Sean Meyn
11
+ An Introduction to Probability Theory and its Applications. 1972 J. F. C. Kingmán
W. Feller
11
+ Absolute Continuity of a Function and Uniform Integrability of Its Divided Differences 2015 Patrick Fitzpatrick
Brian R. Hunt
11
+ Adversarial queuing theory 2001 Allan Borodin
Jon Kleinberg
Prabhakar Raghavan
Madhu Sudan
David P. Williamson
11
+ Marked point processes as limits of Markovian arrival streams 1993 Søren Asmussen
Ger Koole
11
+ PDF Chat Ergodicity of conservative communication networks 1994 Dmitri Botvich
Alexander A. Zamyatin
11
+ PDF Chat Instability in stochastic and fluid queueing networks 2005 David Gamarnik
John J. Hasenbein
11
+ Analysis of numerical methods 2011 Anneli Folkesson
11
+ PDF Chat State-Dependent Criteria for Convergence of Markov Chains 1994 Sean Meyn
Richard L. Tweedie
11
+ Piecewise linear test functions for stability of queueing networks 2002 Douglas G. Down
Sean Meyn
11
+ PDF Chat Switched networks with maximum weight policies: Fluid approximation and multiplicative state space collapse 2012 Devavrat Shah
Damon Wischik
11
+ Criteria for classifying general Markov chains 1976 Richard L. Tweedie
11
+ Introduction to linear optimization 1997 Dimitris Bertsimas
John N. Tsitsiklis
11
+ PDF Chat AN OVERVIEW OF SOME STOCHASTIC STABILITY METHODS(&lt;Special Issue&gt;Network Design, Control and Optimization) 2004 Sergey Foss
Takis Konstantopoulos
11
+ PDF Chat Advanced analysis on the real line 1996 Rangachary Kannan
Carole King Krueger
11
+ A Course in Probability Theory 2002 Raisa E. Feldman
11
+ PDF Chat Structural properties of proportional fairness: Stability and insensitivity 2007 Laurent Massoulié
11
+ PDF Chat On the Capacity of Information Processing Systems 2018 Laurent Massoulié
Kuang Xu
11
+ Linear Programming and Extensions 1984 L. R. Foulds
9
+ Proximal Policy Optimization Algorithms 2017 John Schulman
Filip Wolski
Prafulla Dhariwal
Alec Radford
Oleg Klimov
7
+ PDF Chat Meta-learning Priors for Efficient Online Bayesian Regression 2020 J. Michael Harrison
Apoorva Sharma
Marco Pavone
7
+ PDF Chat Reflected Brownian Motion on an Orthant 1981 J. Michael Harrison
Martin I. Reiman
6
+ PDF Chat State space collapse and diffusion approximation for a network operating under a fair bandwidth sharing policy 2009 W. N. Kang
F. P. Kelly
N. H. Lee
Ruth Williams
6
+ Asynchronous Methods for Deep Reinforcement Learning 2016 Volodymyr Mnih
Adrià Puigdomènech Badia
Mehdi Mirza
Alex Graves
Tim Harley
Timothy Lillicrap
David Silver
Koray Kavukcuoglu
5
+ Open Queueing Networks in Heavy Traffic 1984 Martin I. Reiman
5
+ PDF Chat Existence and uniqueness of semimartingale reflecting Brownian motions in an orthant 1993 Libby Taylor
Ruth Williams
5
+ Insensitivity of proportional fairness in critically loaded bandwidth sharing networks 2014 Maria Vlasiou
J Junyi Zhang
AP Bert Zwart
5
+ PDF Chat GuSTO: Guaranteed Sequential Trajectory optimization via Sequential Convex Programming 2019 Riccardo Bonalli
Abhishek Cauligi
Andrew Bylard
Marco Pavone
4
+ Semimartingale Reflecting Brownian Motions in the Orthant 1995 Ruth Williams
4
+ PDF Chat Learning-Based Model Predictive Control for Safe Exploration 2018 Torsten Koller
Felix Berkenkamp
Matteo Turchetta
Andreas Krause
4
+ Safe Model-Based Meta-Reinforcement Learning: A Sequential Exploration-Exploitation Framework. 2020 Thomas Lew
Apoorva Sharma
J. Michael Harrison
Marco Pavone
4
+ PDF Chat Safe Active Dynamics Learning and Control: A Sequential Exploration–Exploitation Framework 2022 Thomas Lew
Apoorva Sharma
J. Michael Harrison
Andrew Bylard
Marco Pavone
4
+ PDF Chat Brownian models of open queueing networks with homogeneous customer populations<sup>∗</sup> 1987 J. Michael Harrison
Ruth Williams
4
+ PDF Chat A Markovian Decision Process 1957 Richard Bellman
3
+ PDF Chat On Square Integrable Martingales 1967 Hiroshi Kunita
Shinzo Watanabe
3
+ PDF Chat Multimodal Probabilistic Model-Based Planning for Human-Robot Interaction 2018 Edward Schmerling
Karen Leung
Wolf Vollprecht
Marco Pavone
3
+ PDF Chat Reflected Brownian motion with skew symmetric data in a polyhedral domain 1987 Ruth Williams
3
+ PDF Chat Hamilton-Jacobi reachability: A brief overview and recent advances 2017 Somil Bansal
Mo Chen
Sylvia Herbert
Claire J. Tomlin
3
+ PDF Chat PlanIt: A crowdsourcing approach for learning to plan paths from large scale preference feedback 2015 Ashesh Jain
Debarghya Das
Jayesh K. Gupta
Ashutosh Saxena
3
+ PDF Chat BaRC: Backward Reachability Curriculum for Robotic Reinforcement Learning 2019 Boris Ivanovic
J. Michael Harrison
Apoorva Sharma
Mo Chen
Marco Pavone
3
+ On the stability of the linear Skorohod problem in an orthant 2002 Ahmed El Kharroubi
Abdelghani Ben Tahar
Abdelhak Yaacoubi
3
+ PDF Chat Fast marching tree: A fast marching sampling-based method for optimal motion planning in many dimensions 2015 Lucas Janson
Edward Schmerling
Ashley Clark
Marco Pavone
3
+ Overcoming catastrophic forgetting in neural networks 2017 James Kirkpatrick
Razvan Pascanu
Neil C. Rabinowitz
Joel Veness
Guillaume Desjardins
Andrei A. Rusu
Kieran Milan
John Quan
Tiago Ramalho
Agnieszka Grabska‐Barwińska
3
+ Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks 2017 Chelsea Finn
Pieter Abbeel
Sergey Levine
3
+ Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning 2018 Anusha Nagabandi
Ignasi Clavera
Simin Liu
Ronald S. Fearing
Pieter Abbeel
Sergey Levine
Chelsea Finn
3