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Natalie Mackraz

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Conference and Workshop Papers

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2024
[c2]
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  dblp key:
  - conf/iclr/SzotSAMMTMHT24
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Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Rin Metcalf, Walter Talbott, Natalie Mackraz, R. Devon Hjelm, Alexander T. Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. ICLR 2024
2023
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  dblp key:
  - conf/corl/MetcalfSMT23
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  - https://dblp.org/rec/conf/corl/MetcalfSMT23
Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald:
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRL 2023: 1484-1532

Informal and Other Publications

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2024
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  - journals/corr/abs-2402-17975
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Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald:
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRR abs/2402.17975 (2024)
2023
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  - journals/corr/abs-2310-17722
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Andrew Szot, Max Schwarzer, Harsh Agrawal, Bogdan Mazoure, Walter Talbott, Katherine Metcalf, Natalie Mackraz, R. Devon Hjelm, Alexander Toshev:
Large Language Models as Generalizable Policies for Embodied Tasks. CoRR abs/2310.17722 (2023)

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