Policy search with rare significant events: Choosing the right partner to cooperate with
This paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode. A typical example is that of an agent who has to choose a partner to cooperate with, while a large number of partners are simply not interested in c...
Main Authors: | , , , |
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Format: | Article |
Language: | English |
Published: |
Public Library of Science (PLoS)
2022-01-01
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Series: | PLoS ONE |
Online Access: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041856/?tool=EBI |
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author | Paul Ecoffet Nicolas Fontbonne Jean-Baptiste André Nicolas Bredeche |
author_facet | Paul Ecoffet Nicolas Fontbonne Jean-Baptiste André Nicolas Bredeche |
author_sort | Paul Ecoffet |
collection | DOAJ |
description | This paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode. A typical example is that of an agent who has to choose a partner to cooperate with, while a large number of partners are simply not interested in cooperating, regardless of what the agent has to offer. We address this problem in a continuous state and action space with two different kinds of search methods: a gradient policy search method and a direct policy search method using an evolution strategy. We show that when significant events are rare, gradient information is also scarce, making it difficult for policy gradient search methods to find an optimal policy, with or without a deep neural architecture. On the other hand, we show that direct policy search methods are invariant to the rarity of significant events, which is yet another confirmation of the unique role evolutionary algorithms has to play as a reinforcement learning method. |
first_indexed | 2024-12-11T13:14:42Z |
format | Article |
id | doaj.art-f989505a58d749ac87745c014cc6d1b7 |
institution | Directory Open Access Journal |
issn | 1932-6203 |
language | English |
last_indexed | 2024-12-11T13:14:42Z |
publishDate | 2022-01-01 |
publisher | Public Library of Science (PLoS) |
record_format | Article |
series | PLoS ONE |
spelling | doaj.art-f989505a58d749ac87745c014cc6d1b72022-12-22T01:06:05ZengPublic Library of Science (PLoS)PLoS ONE1932-62032022-01-01174Policy search with rare significant events: Choosing the right partner to cooperate withPaul EcoffetNicolas FontbonneJean-Baptiste AndréNicolas BredecheThis paper focuses on a class of reinforcement learning problems where significant events are rare and limited to a single positive reward per episode. A typical example is that of an agent who has to choose a partner to cooperate with, while a large number of partners are simply not interested in cooperating, regardless of what the agent has to offer. We address this problem in a continuous state and action space with two different kinds of search methods: a gradient policy search method and a direct policy search method using an evolution strategy. We show that when significant events are rare, gradient information is also scarce, making it difficult for policy gradient search methods to find an optimal policy, with or without a deep neural architecture. On the other hand, we show that direct policy search methods are invariant to the rarity of significant events, which is yet another confirmation of the unique role evolutionary algorithms has to play as a reinforcement learning method.https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041856/?tool=EBI |
spellingShingle | Paul Ecoffet Nicolas Fontbonne Jean-Baptiste André Nicolas Bredeche Policy search with rare significant events: Choosing the right partner to cooperate with PLoS ONE |
title | Policy search with rare significant events: Choosing the right partner to cooperate with |
title_full | Policy search with rare significant events: Choosing the right partner to cooperate with |
title_fullStr | Policy search with rare significant events: Choosing the right partner to cooperate with |
title_full_unstemmed | Policy search with rare significant events: Choosing the right partner to cooperate with |
title_short | Policy search with rare significant events: Choosing the right partner to cooperate with |
title_sort | policy search with rare significant events choosing the right partner to cooperate with |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041856/?tool=EBI |
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