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        <title>Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents</title>
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    <name type="personal">
        <namePart type="given">Laetitia</namePart>
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        <namePart type="given">Xingdi</namePart>
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    <name type="personal">
        <namePart type="given">Marc-Alexandre</namePart>
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    <name type="personal">
        <namePart type="given">Pierre-Yves</namePart>
        <namePart type="family">Oudeyer</namePart>
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            <title>Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)</title>
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            <namePart type="given">Marc-Alexandre</namePart>
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        <name type="personal">
            <namePart type="given">Prithviraj</namePart>
            <namePart type="family">Ammanabrolu</namePart>
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    <abstract>The purpose of this extended abstract is to discuss the possible fruitful interactions between intrinsically-motivated language-conditioned agents and textual environments. We define autotelic agents as agents able to set their own goals. We identify desirable properties of textual nenvironments that makes them a good testbed for autotelic agents. We them list drivers of exploration for such agents that would allow them to achieve large repertoires of skills in these environments, enabling such agents to be repurposed for solving the benchmarks implemented in textual environments. We then discuss challenges and further perspectives brought about by this interaction.</abstract>
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    <identifier type="doi">10.18653/v1/2022.wordplay-1.5</identifier>
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        <date>2022-07</date>
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            <start>59</start>
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%0 Conference Proceedings
%T Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents
%A Teodorescu, Laetitia
%A Yuan, Xingdi
%A Côté, Marc-Alexandre
%A Oudeyer, Pierre-Yves
%Y Côté, Marc-Alexandre
%Y Yuan, Xingdi
%Y Ammanabrolu, Prithviraj
%S Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022)
%D 2022
%8 July
%I Association for Computational Linguistics
%C Seattle, United States
%F teodorescu-etal-2022-automatic
%X The purpose of this extended abstract is to discuss the possible fruitful interactions between intrinsically-motivated language-conditioned agents and textual environments. We define autotelic agents as agents able to set their own goals. We identify desirable properties of textual nenvironments that makes them a good testbed for autotelic agents. We them list drivers of exploration for such agents that would allow them to achieve large repertoires of skills in these environments, enabling such agents to be repurposed for solving the benchmarks implemented in textual environments. We then discuss challenges and further perspectives brought about by this interaction.
%R 10.18653/v1/2022.wordplay-1.5
%U https://aclanthology.org/2022.wordplay-1.5
%U https://doi.org/10.18653/v1/2022.wordplay-1.5
%P 59-62

Markdown (Informal)

[Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents](https://aclanthology.org/2022.wordplay-1.5) (Teodorescu et al., Wordplay 2022)

• Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents (Teodorescu et al., Wordplay 2022)

ACL

• Laetitia Teodorescu, Xingdi Yuan, Marc-Alexandre Côté, and Pierre-Yves Oudeyer. 2022. Automatic Exploration of Textual Environments with Language-Conditioned Autotelic Agents. In Proceedings of the 3rd Wordplay: When Language Meets Games Workshop (Wordplay 2022), pages 59–62, Seattle, United States. Association for Computational Linguistics.