Research output per year
Research output per year
Personal profile
Research interests
Explaining the behaviour of reinforcement learning agents.
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Dive into the research topics where Daniel Beechey is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Explaining Reinforcement Learning with Shapley Values
Beechey, D., Smith, T. M. S. & Şimşek, Ö., 9 Jun 2023, arXiv.Research output: Working paper / Preprint › Preprint
File89 Downloads (Pure) -
Explaining Reinforcement Learning with Shapley Values
Beechey, D., Smith, T. & Şimşek, Ö., 29 Jul 2023.Research output: Contribution to conference › Paper › peer-review
Open Access -
Reformulating Reactivity Design for Data-Efficient Machine Learning
Lewis-Atwell, T., Beechey, D., Şimşek, Ö. & Grayson, M., 20 Oct 2023, In: ACS Catalysis. 13, 20, p. 13506–13515 10 p.Research output: Contribution to journal › Article › peer-review
Open Access5 Citations (SciVal)
Datasets
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Dataset for "Reformulating Reactivity Design for Data-Efficient Machine Learning"
Lewis-Atwell, T. (Creator), Beechey, D. (Creator), Şimşek, Ö. (Creator) & Grayson, M. (Creator), University of Bath, 6 Oct 2023
DOI: 10.15125/BATH-01240, https://github.com/the-grayson-group/finding_barriers
Dataset