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1

Embodied Queries for Robot Task Learning:

, In: The Eleventh ACM/IEEE International Conference on Human Robot Interaction,

Bullard, Kalesha - p. 599-600 , 2016

Link: https://dl.acm.org/doi/1..

2

Reward Design with Language Models:

Kwon, Minae ; Xie, Sang Michael ; Bullard, Kalesha.
http://arxiv.org/abs/2303.00001. , 2023

Link: http://arxiv.org/abs/230..

3

Developing, Evaluating and Scaling Learning Agents in Multi..:

Gemp, Ian ; Anthony, Thomas ; Bachrach, Yoram...
http://arxiv.org/abs/2209.10958. , 2022

Link: http://arxiv.org/abs/220..

4

Quasi-Equivalence Discovery for Zero-Shot Emergent Communic..:

Bullard, Kalesha ; Kiela, Douwe ; Meier, Franziska..
http://arxiv.org/abs/2103.08067. , 2021

Link: http://arxiv.org/abs/210..

5

Exploring Zero-Shot Emergent Communication in Embodied Mult..:

Bullard, Kalesha ; Meier, Franziska ; Kiela, Douwe..
http://arxiv.org/abs/2010.15896. , 2020

Link: http://arxiv.org/abs/201..

6

Active Learning within Constrained Environments through Imi..:

Bullard, Kalesha ; Schroecker, Yannick ; Chernova, Sonia
http://arxiv.org/abs/1907.00921. , 2019

Link: http://arxiv.org/abs/190..

7

Proceedings of the AI-HRI Symposium at AAAI-FSS 2018:

Bullard, Kalesha ; DePalma, Nick ; Freedman, Richard G...
http://arxiv.org/abs/1809.06606. , 2018

Link: http://arxiv.org/abs/180..

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