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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence

Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents

February 1, 2023

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Authors

Felipe Leno Da Silva

University of Sao Paulo


Pablo Hernandez-Leal

Borealis AI


Bilal Kartal

Borealis AI


Matthew E. Taylor

Borealis AI


DOI:

10.1609/aaai.v34i04.6036


Abstract:

Although Reinforcement Learning (RL) has been one of the most successful approaches for learning in sequential decision making problems, the sample-complexity of RL techniques still represents a major challenge for practical applications. To combat this challenge, whenever a competent policy (e.g., either a legacy system or a human demonstrator) is available, the agent could leverage samples from this policy (advice) to improve sample-efficiency. However, advice is normally limited, hence it should ideally be directed to states where the agent is uncertain on the best action to execute. In this work, we propose Requesting Confidence-Moderated Policy advice (RCMP), an action-advising framework where the agent asks for advice when its epistemic uncertainty is high for a certain state. RCMP takes into account that the advice is limited and might be suboptimal. We also describe a technique to estimate the agent uncertainty by performing minor modifications in standard value-function-based RL methods. Our empirical evaluations show that RCMP performs better than Importance Advising, not receiving advice, and receiving it at random states in Gridworld and Atari Pong scenarios.

Topics: AAAI

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Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents Proceedings of the AAAI Conference on Artificial Intelligence (2020) 5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents AAAI 2020, 5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor (2020). Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. Proceedings of the AAAI Conference on Artificial Intelligence, 5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. Proceedings of the AAAI Conference on Artificial Intelligence 2020 p.5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. 2020. Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. "Proceedings of the AAAI Conference on Artificial Intelligence". 5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. (2020) "Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents", Proceedings of the AAAI Conference on Artificial Intelligence, p.5792-5799

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor, "Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents", AAAI, p.5792-5799, 2020.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. "Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents". Proceedings of the AAAI Conference on Artificial Intelligence, 2020, p.5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. "Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents". Proceedings of the AAAI Conference on Artificial Intelligence, (2020): 5792-5799.

Felipe Leno Da Silva||Pablo Hernandez-Leal||Bilal Kartal||Matthew E. Taylor. Uncertainty-Aware Action Advising for Deep Reinforcement Learning Agents. AAAI[Internet]. 2020[cited 2023]; 5792-5799.


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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