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...

Full description

Bibliographic Details
Main Authors: Paul Ecoffet, Nicolas Fontbonne, Jean-Baptiste André, Nicolas Bredeche
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2022-01-01
Series:PLoS ONE
Online Access:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9041856/?tool=EBI
_version_ 1818149920255770624
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
work_keys_str_mv AT paulecoffet policysearchwithraresignificanteventschoosingtherightpartnertocooperatewith
AT nicolasfontbonne policysearchwithraresignificanteventschoosingtherightpartnertocooperatewith
AT jeanbaptisteandre policysearchwithraresignificanteventschoosingtherightpartnertocooperatewith
AT nicolasbredeche policysearchwithraresignificanteventschoosingtherightpartnertocooperatewith