Faculty

Institution

Unit

Venue

J. Michael Harrison

Adams Distinguished Professor of Management Emeritus

Stanford University

Affiliations

Graduate School of Business

Operations, Information & Technology

Graduate School of Education

J. Michael Harrison is currently serving as a Graduate School Of Business Adams Distinguished Professor of Management Emeritus at Stanford University.

Honors

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Experiences

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Education

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J. Michael Harrison

Stanford University

Adams Distinguished Professor of Management Emeritus

You can click a keyword to filter the displayed items

applied mathematics systems engineering applied probability probability theory queueing theory stochastic process operations research computer science machine learning brownian motion mathematics reinforcement learning stochastic systems mathematical optimization stochastic calculus brownian models robotics financial economics stochastic phenomena computational intelligence operation management stability analysis stationary distribution stochastic processing networks distributed systems automatic control spectral theory telecommunication networks networked system design network theory stochastic networks fluid queue decision analysis stochastic dynamical systems fair resource allocation heavy traffic analysis dynamic scheduling two-moment analysis robot learning management science control optimization bayesian analysis empirical finance performance modeling scheduling (computing) stochastic differential equations network traffic control congestion control deep reinforcement learning continuous trading homogeneous customer populations dynamic control semimartingale rbm brownian networks multiclass queue heavy traffic diffusion approximation qnet method sequential exploration-exploitation framework numerical algorithms numerical mathematics statistical methodology active control behavioral finance probabilistic analysis dynamic pricing scheduling problems control design admission control cloud robotics network robotics scheduling analysis distributed robotics control engineering advanced motion control control science

Notable Scholarly Works

Notable Federal Grants

Collaborators

Drift Control of High-Dimensional Reflected Brownian Motion: A Computational Method Based on Neural Networks. Stochastic Systems (2024)

Baris AtaJ. Michael HarrisonNian Si

neural networksstochastic systemsstochastic processcomputational methoddrift controlbrownian motion

Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications. Queueing Systems (2024)

Baris AtaJ. Michael HarrisonNian Si

comparative methodssingular controlcomputational methodbrownian motion

Drift Control of High-Dimensional Rbm: A Computational Method Based on Neural Networks. arXiv (Cornell University) (2023)

Ata, BarisHarrison, J. MichaelSi, Nian

neural networkshigh-dimensional rbmapplied mathematicsmachine learningcomputational methoddrift control

Adaptive Robust Model Predictive Control With Matched and Unmatched Uncertainty. 2022 American Control Conference (ACC) (2022)

Rohan SinhaJames HarrisonSpencer M. RichardsMarco Pavone

systems engineeringcontrol systemsrobust controlmodel predictive controlautomatic controladaptive control

Advertising Media and Target Audience Optimization via High-Dimensional Bandits. arXiv (Cornell University) (2022)

computational optimizationonline advertisinguser segmentationmarketingmathematical optimizationexploration v exploitationstatistical inferenceadvertisingsearch engine marketing

Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

John WillesJames HarrisonAli HarakehChelsea FinnMarco PavoneSteven L. Waslander

machine intelligencepattern analysisbayesian embeddingsmachine learningcomputer visionmachine visionpattern recognitionimage analysisdata scienceapplied mathematicstransfer learningobject recognitioncomputer science

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-On-Demand. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)

Daniele GammelliKaidi YangJames HarrisonFilipe RodriguesFrancisco PereiraMarco Pavone

graph meta-reinforcement learningdata miningtransferable autonomous mobility-on-demandreinforcement learningknowledge discoverydata sciencecomputational intelligencemachine learningcomputer science

Reinforcement Learning for Autonomous Mobility-On-Demand Systems. Trafikdage på <<Aalborg=Ålborg>> Universitet/Trafikdage på Aalborg Universitet (2022)

Daniele GammelliKaidi YangJames HarrisonFilipe RodriguesFrancisco C. PereiraMarco Pavone

systems engineeringmachine learningartificial intelligencereinforcement learning

Safe Active Dynamics Learning and Control: A Sequential Exploration–Exploitation Framework. IEEE Transactions on Robotics (2022)

Thomas LewApoorva SharmaJames HarrisonAndrew BylardMarco Pavone

systems engineeringcontrol systemssafety controladvanced motion controlroboticsfield roboticsdistributed roboticscontrol engineeringcontrol sciencesequential exploration-exploitation frameworkautomatic controlaerospace engineeringcomputer sciencesafe active dynamicsactive control

Deep Reinforcement Learning Amidst Continual Structured Non-Stationarity. International Conference on Machine Learning (2021)

Annie XieJames HarrisonChelsea Finn

deep learningcomputer sciencedeep reinforcement learningreinforcement learning

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J. Michael Harrison

Adams Distinguished Professor of Management Emeritus

Stanford University

Affiliations

Graduate School of Business

Operations, Information & Technology

Graduate School of Education

J. Michael Harrison is currently serving as a Graduate School Of Business Adams Distinguished Professor of Management Emeritus at Stanford University.

Honors

Create free account to unlock more features

Experiences

Create free account to unlock more features

Education

Create free account to unlock more features

J. Michael Harrison

Stanford University

Adams Distinguished Professor of Management Emeritus

You can click a keyword to filter the displayed items

Notable Scholarly Works

Notable Federal Grants

Collaborators

Drift Control of High-Dimensional Reflected Brownian Motion: A Computational Method Based on Neural Networks. Stochastic Systems (2024)

Baris AtaJ. Michael HarrisonNian Si

neural networksstochastic systemsstochastic processcomputational methoddrift controlbrownian motion

Singular Control of (Reflected) Brownian Motion: A Computational Method Suitable for Queueing Applications. Queueing Systems (2024)

Baris AtaJ. Michael HarrisonNian Si

comparative methodssingular controlcomputational methodbrownian motion

Drift Control of High-Dimensional Rbm: A Computational Method Based on Neural Networks. arXiv (Cornell University) (2023)

Ata, BarisHarrison, J. MichaelSi, Nian

neural networkshigh-dimensional rbmapplied mathematicsmachine learningcomputational methoddrift control

Adaptive Robust Model Predictive Control With Matched and Unmatched Uncertainty. 2022 American Control Conference (ACC) (2022)

Rohan SinhaJames HarrisonSpencer M. RichardsMarco Pavone

systems engineeringcontrol systemsrobust controlmodel predictive controlautomatic controladaptive control

Advertising Media and Target Audience Optimization via High-Dimensional Bandits. arXiv (Cornell University) (2022)

computational optimizationonline advertisinguser segmentationmarketingmathematical optimizationexploration v exploitationstatistical inferenceadvertisingsearch engine marketing

Bayesian Embeddings for Few-Shot Open World Recognition. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022)

John WillesJames HarrisonAli HarakehChelsea FinnMarco PavoneSteven L. Waslander

Graph Meta-Reinforcement Learning for Transferable Autonomous Mobility-On-Demand. Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2022)

Daniele GammelliKaidi YangJames HarrisonFilipe RodriguesFrancisco PereiraMarco Pavone

graph meta-reinforcement learningdata miningtransferable autonomous mobility-on-demandreinforcement learningknowledge discoverydata sciencecomputational intelligencemachine learningcomputer science

Reinforcement Learning for Autonomous Mobility-On-Demand Systems. Trafikdage på <<Aalborg=Ålborg>> Universitet/Trafikdage på Aalborg Universitet (2022)

Daniele GammelliKaidi YangJames HarrisonFilipe RodriguesFrancisco C. PereiraMarco Pavone

systems engineeringmachine learningartificial intelligencereinforcement learning

Safe Active Dynamics Learning and Control: A Sequential Exploration–Exploitation Framework. IEEE Transactions on Robotics (2022)

Thomas LewApoorva SharmaJames HarrisonAndrew BylardMarco Pavone

Deep Reinforcement Learning Amidst Continual Structured Non-Stationarity. International Conference on Machine Learning (2021)

Annie XieJames HarrisonChelsea Finn

deep learningcomputer sciencedeep reinforcement learningreinforcement learning

1
2
3
4
5
13
10 / page

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applied mathematics

computer science

Alain Bensoussan

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applied mathematical modelling

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computational optimization

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supply chain management

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finance

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network science

infrastructure security

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hybrid systems

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systems engineering

applied mathematics