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All HBS Web
(344)
- People (3)
- News (80)
- Research (149)
- Events (1)
- Multimedia (1)
- Faculty Publications (29)
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- September 2006
- Article
Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
Bereby-Meyer, Yoella, and Alvin E. Roth. "Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- September 2006
- Article
The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation
By: Yoella Bereby-Meyer and Alvin E. Roth
In an experiment, players ability to learn to cooperate in the repeated prisoners dilemma was substantially diminished when the payoffs were noisy, even though players could monitor one anothers past actions perfectly. In contrast, in one-time play against a succession...
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Bereby-Meyer, Yoella, and Alvin E. Roth. "The Speed of Learning in Noisy Games: Partial Reinforcement and the Sustainability of Cooperation." American Economic Review 96, no. 4 (September 2006): 1029–1042.
- March 2022 (Revised July 2022)
- Technical Note
Prediction & Machine Learning
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...
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Keywords:
Machine Learning;
Data Science;
Learning;
Analytics and Data Science;
Performance Evaluation
Bojinov, Iavor I., Michael Parzen, and Paul Hamilton. "Prediction & Machine Learning." Harvard Business School Technical Note 622-101, March 2022. (Revised July 2022.)
- 2022
- Working Paper
What Would It Mean for a Machine to Have a Self?
By: Julian De Freitas, Ahmet Kaan Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and Tomer Ullman
What would it mean for autonomous AI agents to have a ‘self’? One proposal for a minimal
notion of self is a representation of one’s body spatio-temporally located in the world, with a tag
of that representation as the agent taking actions in the world. This turns...
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De Freitas, Julian, Ahmet Kaan Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and Tomer Ullman. "What Would It Mean for a Machine to Have a Self?" Harvard Business School Working Paper, No. 23-017, September 2022.
- 1999
- Chapter
On the Role of Reinforcement Learning in Experimental Games: The Cognitive Game Theory Approach
By: Ido Erev and A. E. Roth
- September 1998
- Article
Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria
By: Ido Erev and A. E. Roth
Erev, Ido, and A. E. Roth. "Predicting How People Play Games: Reinforcement Learning in Experimental Games with Unique, Mixed Strategy Equilibria." American Economic Review 88, no. 4 (September 1998): 848–881.
- 2006
- Conference Paper
Modeling Repeated Play of the Prisoners' Dilemma with Reinforcement Learning over an Enriched Strategy Set
By: A. E. Roth and Ido Erev
- May 1999
- Article
The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning
By: Ido Erev, Yoella Bereby-Meyer and Alvin E. Roth
Erev, Ido, Yoella Bereby-Meyer, and Alvin E. Roth. "The Effect of Adding a Constant to All Payoffs: Experimental Investigation, and a Reinforcement Learning Model with Self-Adjusting Speed of Learning." Journal of Economic Behavior & Organization 39, no. 1 (May 1999): 111–128.
- March 2008
- Article
Is Yours a Learning Organization?
By: David A. Garvin, Amy C. Edmondson and Francesca Gino
This article includes a one-page preview that quickly summarizes the key ideas and provides an overview of how the concepts work in practice along with suggestions for further reading. An organization with a strong learning culture faces the unpredictable deftly....
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Keywords:
Interpersonal Communication;
Learning;
Surveys;
Leading Change;
Management Analysis, Tools, and Techniques;
Organizational Culture
Garvin, David A., Amy C. Edmondson, and Francesca Gino. "Is Yours a Learning Organization?" Harvard Business Review 86, no. 3 (March 2008): 109–116.
- December 2023
- Article
Self-Orienting in Human and Machine Learning
By: Julian De Freitas, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum and T. Ullman
A current proposal for a computational notion of self is a representation of one’s body in a specific time and place, which includes the recognition of that representation as the agent. This turns self-representation into a process of self-orientation, a challenging...
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De Freitas, Julian, Ahmet Uğuralp, Zeliha Uğuralp, Laurie Paul, Joshua B. Tenenbaum, and T. Ullman. "Self-Orienting in Human and Machine Learning." Nature Human Behaviour 7, no. 12 (December 2023): 2126–2139.
- June 2019
- Article
Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes
By: Kathleen L. McGinn, Mayra Ruiz Castro and Elizabeth Long Lingo
Analyses relying on two international surveys from over 100,000 men and women across 29 countries explore the relationship between maternal employment and adult daughters’ and sons’ employment and domestic outcomes. In the employment sphere, adult daughters, but not...
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Keywords:
Female Labor Force Participation;
Gender Attitudes;
Household Labor;
Maternal Employment;
Social Class;
Social Learning Theory;
Social Mobility;
Employment;
Gender;
Attitudes;
Household;
Labor;
Learning;
Outcome or Result
McGinn, Kathleen L., Mayra Ruiz Castro, and Elizabeth Long Lingo. "Learning From Mum: Cross-National Evidence Linking Maternal Employment and Adult Children’s Outcomes." Work, Employment and Society 33, no. 3 (June 2019): 374–400.
- March 2023
- Article
Learning to Successfully Hire in Online Labor Markets
By: Marios Kokkodis and Sam Ransbotham
Hiring in online labor markets involves considerable uncertainty: which hiring choices are more likely to yield successful outcomes and how do employers adjust their hiring behaviors to make such choices? We argue that employers will initially explore the value of...
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Kokkodis, Marios, and Sam Ransbotham. "Learning to Successfully Hire in Online Labor Markets." Management Science 69, no. 3 (March 2023): 1597–1614.
- April 2011
- Article
What Can We Learn from 'Great Negotiations'?
What can one legitimately learn-analytically and/or prescriptively-from detailed historical case studies of "great negotiations," chosen more for their salience than their analytic characteristics or comparability? Taking a number of such cases compiled by Stanton...
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Keywords:
Learning;
International Relations;
History;
Agreements and Arrangements;
Negotiation Process;
Conflict and Resolution
Sebenius, James K. "What Can We Learn from 'Great Negotiations'?" Negotiation Journal 27, no. 2 (April 2011).
- 25 Apr 2005
- Research & Ideas
New Learning at American Home Products
division integrating product development and marketing, but without significant research capability. For all but chemicals and prescription drugs, the corporate focus was on marketing, especially advertising.24 In prescription drugs, the company's initial View Details
- July 2019 (Revised November 2019)
- Case
Osaro: Picking the Best Path
By: William R. Kerr, James Palano and Bastiane Huang
The founder of Osaro saw the potential of deep reinforcement learning to allow robots to be applied to new applications. Osaro targeted warehousing, already a dynamic industry for robotics and automation, for its initial product—a system which would allow robotic arms...
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Keywords:
Artificial Intelligence;
Machine Learning;
Robotics;
Robots;
Ecommerce;
Fulfillment;
Warehousing;
AI;
Startup;
Technology Commercialization;
Business Startups;
Entrepreneurship;
Logistics;
Order Taking and Fulfillment;
Information Technology;
Commercialization;
Learning;
Complexity;
Competition;
E-commerce
Kerr, William R., James Palano, and Bastiane Huang. "Osaro: Picking the Best Path." Harvard Business School Case 820-012, July 2019. (Revised November 2019.)
- April 2022 (Revised May 2022)
- Case
Mastercard Labs (A)
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify...
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Keywords:
Organizational Behavior;
Culture;
Culture Change;
Organizational Adaptation;
Organizational Effectiveness;
Alignment;
Leadership;
Leadership Development;
Innovation;
Innovation Ecosystems;
Ecosystem;
Diversity;
Collaboration;
Co-creation;
Learning Organizations;
Empowerment;
Globalization;
Agility;
Prototype;
Experiment;
Partnerships;
Operating Model;
Risk Management;
Metrics;
Payments;
Financial Inclusion;
Financial Industry;
Ambidexterity;
Corporate Innovation;
Innovation Lab;
Digital Transformation;
Digital Strategy;
Credit Cards;
Innovation Leadership;
Organizational Culture
Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A)." Harvard Business School Case 422-080, April 2022. (Revised May 2022.)
- April 2022 (Revised May 2022)
- Case
Mastercard Labs (A) (Abridged)
When Ajaypal (Ajay) Banga became the CEO of Mastercard in 2010, he shifted the company’s competitive focus from card networks to cash itself. Mastercard’s new vision of a “World Beyond Cash” distilled into a three-pronged framework: Grow the core business, Diversify...
View Details
Keywords:
Organizational Behavior;
Culture;
Organizational Culture;
Culture Change;
Organizational Adaptation;
Organizational Effectiveness;
Alignment;
Leadership;
Leadership Development;
Innovation;
Innovation Ecosystems;
Diversity;
Collaboration;
Co-creation;
Learning Organizations;
Empowerment;
Ecosystem;
Agility;
Prototype;
Experiment;
Partnerships;
Operating Model;
Risk Management;
Metrics;
Payments;
Financial Inclusion;
Financial Industry;
Ambidexterity;
Corporate Innovation;
Innovation Lab;
Accelerator;
Start-up;
Intrapreneurship;
Competitive Strategy;
Business Model;
Technological Innovation;
Growth and Development Strategy;
Digital Transformation
Hill, Linda A., Sunil Gupta, Emily Tedards, and Julia Kelley. "Mastercard Labs (A) (Abridged)." Harvard Business School Case 422-082, April 2022. (Revised May 2022.)
- Research Summary
"On design of operations & production management technology-base and performance database for empowerment of global/local industries in the international business environment"
His current research interests are in the reinforcement of continuous improvement schemes such as TPM, its global transfer and road-mapping for empowerment of industries. One of his aims while at Harvard TOM Unit is to establish infrastructure which enables... View Details
- 03 Oct 2016
- Working Paper Summaries