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Olivia Watkins

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2020 – today

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2023
[i7]
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  - journals/corr/abs-2302-06692
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  - https://dblp.org/rec/journals/corr/abs-2302-06692
Yuqing Du, Olivia Watkins, Zihan Wang, Cédric Colas, Trevor Darrell, Pieter Abbeel, Abhishek Gupta, Jacob Andreas:
Guiding Pretraining in Reinforcement Learning with Large Language Models. CoRR abs/2302.06692 (2023)
[i6]
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  - journals/corr/abs-2302-12192
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Kimin Lee, Hao Liu, Moonkyung Ryu, Olivia Watkins, Yuqing Du, Craig Boutilier, Pieter Abbeel, Mohammad Ghavamzadeh, Shixiang Shane Gu:
Aligning Text-to-Image Models using Human Feedback. CoRR abs/2302.12192 (2023)
2022
[i5]
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  - journals/corr/abs-2201-12462
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Julius Frost, Olivia Watkins, Eric Weiner, Pieter Abbeel, Trevor Darrell, Bryan A. Plummer, Kate Saenko:
Explaining Reinforcement Learning Policies through Counterfactual Trajectories. CoRR abs/2201.12462 (2022)
[i4]
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  - journals/corr/abs-2203-11197
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Olivia Watkins, Trevor Darrell, Pieter Abbeel, Jacob Andreas, Abhishek Gupta:
Teachable Reinforcement Learning via Advice Distillation. CoRR abs/2203.11197 (2022)
2021
[c2]
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  - conf/icra/DuWDAP21
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Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. ICRA 2021: 1290-1296
[c1]
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Olivia Watkins, Abhishek Gupta, Trevor Darrell, Pieter Abbeel, Jacob Andreas:
Teachable Reinforcement Learning via Advice Distillation. NeurIPS 2021: 6920-6933
[i3]
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  - journals/corr/abs-2104-07662
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Yuqing Du, Olivia Watkins, Trevor Darrell, Pieter Abbeel, Deepak Pathak:
Auto-Tuned Sim-to-Real Transfer. CoRR abs/2104.07662 (2021)

2010 – 2019

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2018
[i2]
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  - journals/corr/abs-1807-01784
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Mehdi Drissi, Olivia Watkins, Aditya Khant, Vivaswat Ojha, Pedro Sandoval Segura, Rakia Segev, Eric Weiner, Robert Keller:
Program Language Translation Using a Grammar-Driven Tree-to-Tree Model. CoRR abs/1807.01784 (2018)
[i1]
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  - journals/corr/abs-1810-08802
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Mehdi Drissi, Olivia Watkins, Jugal Kalita:
Hierarchical Text Generation using an Outline. CoRR abs/1810.08802 (2018)

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