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Conference and Workshop Papers
- 2024
[c2]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
- [c1]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
- 2024
- [i4]Katherine Metcalf, Miguel Sarabia, Natalie Mackraz, Barry-John Theobald:
Sample-Efficient Preference-based Reinforcement Learning with Dynamics Aware Rewards. CoRR abs/2402.17975 (2024) - [i3]Stephane Aroca-Ouellette, Natalie Mackraz, Barry-John Theobald, Katherine Metcalf:
PREDICT: Preference Reasoning by Evaluating Decomposed preferences Inferred from Candidate Trajectories. CoRR abs/2410.06273 (2024) - [i2]Natalie Mackraz, Nivedha Sivakumar, Samira Khorshidi, Krishna Patel, Barry-John Theobald, Luca Zappella, Nicholas Apostoloff:
Evaluating Gender Bias Transfer between Pre-trained and Prompt-Adapted Language Models. CoRR abs/2412.03537 (2024) - 2023
- [i1]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)
Coauthor Index
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