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Authors: Zhao Yang ; Thomas Moerland ; Mike Preuss and Aske Plaat

Affiliation: Leiden University, The Netherlands

Keyword(s): Go-Explore, Intrinsic Motivation, Post-Exploration.

Abstract: Go-Explore achieved breakthrough performance on challenging reinforcement learning (RL) tasks with sparse rewards. The key insight of Go-Explore was that successful exploration requires an agent to first return to an interesting state (‘Go’), and only then explore into unknown terrain (‘Explore’). We refer to such exploration after a goal is reached as ‘post-exploration’. In this paper, we present a clear ablation study of post-exploration in a general intrinsically motivated goal exploration process (IMGEP) framework, that the Go-Explore paper did not show. We study the isolated potential of post-exploration, by turning it on and off within the same algorithm under both tabular and deep RL settings on both discrete navigation and continuous control tasks. Experiments on a range of MiniGrid and Mujoco environments show that post-exploration indeed helps IMGEP agents reach more diverse states and boosts their performance. In short, our work suggests that RL researchers should consider using post-exploration in IMGEP when possible since it is effective, method-agnostic, and easy to implement. (More)

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Paper citation in several formats:
Yang, Z.; Moerland, T.; Preuss, M. and Plaat, A. (2023). First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 27-34. DOI: 10.5220/0011612800003393

@conference{icaart23,
author={Zhao Yang. and Thomas Moerland. and Mike Preuss. and Aske Plaat.},
title={First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2023},
pages={27-34},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011612800003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - First Go, then Post-Explore: The Benefits of Post-Exploration in Intrinsic Motivation
SN - 978-989-758-623-1
IS - 2184-433X
AU - Yang, Z.
AU - Moerland, T.
AU - Preuss, M.
AU - Plaat, A.
PY - 2023
SP - 27
EP - 34
DO - 10.5220/0011612800003393
PB - SciTePress

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