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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence / EAAI-20

Incorporating Behavioral Constraints in Online AI Systems

February 1, 2023

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Authors

Avinash Balakrishnan

IBM


Djallel Bouneffouf

IBM


Nicholas Mattei

Tulane University


Francesca Rossi

IBM


DOI:

10.1609/aaai.v33i01.33013


Abstract:

AI systems that learn through reward feedback about the actions they take are increasingly deployed in domains that have significant impact on our daily life. However, in many cases the online rewards should not be the only guiding criteria, as there are additional constraints and/or priorities imposed by regulations, values, preferences, or ethical principles. We detail a novel online agent that learns a set of behavioral constraints by observation and uses these learned constraints as a guide when making decisions in an online setting while still being reactive to reward feedback. To define this agent, we propose to adopt a novel extension to the classical contextual multi-armed bandit setting and we provide a new algorithm called Behavior Constrained Thompson Sampling (BCTS) that allows for online learning while obeying exogenous constraints. Our agent learns a constrained policy that implements the observed behavioral constraints demonstrated by a teacher agent, and then uses this constrained policy to guide the reward-based online exploration and exploitation. We characterize the upper bound on the expected regret of the contextual bandit algorithm that underlies our agent and provide a case study with real world data in two application domains. Our experiments show that the designed agent is able to act within the set of behavior constraints without significantly degrading its overall reward performance.

Topics: AAAI

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HOW TO CITE:

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi Incorporating Behavioral Constraints in Online AI Systems Proceedings of the AAAI Conference on Artificial Intelligence (2019) 44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi Incorporating Behavioral Constraints in Online AI Systems AAAI 2019, 44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi (2019). Incorporating Behavioral Constraints in Online AI Systems. Proceedings of the AAAI Conference on Artificial Intelligence, 44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. Incorporating Behavioral Constraints in Online AI Systems. Proceedings of the AAAI Conference on Artificial Intelligence 2019 p.44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. 2019. Incorporating Behavioral Constraints in Online AI Systems. "Proceedings of the AAAI Conference on Artificial Intelligence". 44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. (2019) "Incorporating Behavioral Constraints in Online AI Systems", Proceedings of the AAAI Conference on Artificial Intelligence, p.44996

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi, "Incorporating Behavioral Constraints in Online AI Systems", AAAI, p.44996, 2019.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. "Incorporating Behavioral Constraints in Online AI Systems". Proceedings of the AAAI Conference on Artificial Intelligence, 2019, p.44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. "Incorporating Behavioral Constraints in Online AI Systems". Proceedings of the AAAI Conference on Artificial Intelligence, (2019): 44996.

Avinash Balakrishnan||Djallel Bouneffouf||Nicholas Mattei||Francesca Rossi. Incorporating Behavioral Constraints in Online AI Systems. AAAI[Internet]. 2019[cited 2023]; 44996.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
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Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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