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Kalesha Bullard
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2020 – today
- 2024
- [c12]Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach:
Approximating the Core via Iterative Coalition Sampling. AAMAS 2024: 669-678 - [i7]Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, Andras Gyorgy, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach:
Approximating the Core via Iterative Coalition Sampling. CoRR abs/2402.03928 (2024) - 2023
- [c11]Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard:
Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. Tiny Papers @ ICLR 2023 - [c10]Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh:
Reward Design with Language Models. ICLR 2023 - [i6]Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh:
Reward Design with Language Models. CoRR abs/2303.00001 (2023) - 2022
- [j1]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán
, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35(4): 271-284 (2022) - [i5]Ian Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar A. Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR abs/2209.10958 (2022) - 2021
- [i4]Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster:
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication. CoRR abs/2103.08067 (2021) - 2020
- [b1]Kalesha Bullard:
Managing Learning Interactions for Collaborative Robot Learning. Georgia Institute of Technology, Atlanta, GA, USA, 2020 - [i3]Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster:
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR abs/2010.15896 (2020)
2010 – 2019
- 2019
- [c9]Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Active Learning within Constrained Environments through Imitation of an Expert Questioner. IJCAI 2019: 2045-2052 - [i2]Kalesha Bullard, Yannick Schroecker, Sonia Chernova:
Active Learning within Constrained Environments through Imitation of an Expert Questioner. CoRR abs/1907.00921 (2019) - 2018
- [c8]Kalesha Bullard, Sonia Chernova
Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration. ICRA 2018: 6923-6930 - [c7]Kalesha Bullard, Andrea Lockerd Thomaz, Sonia Chernova
Towards Intelligent Arbitration of Diverse Active Learning Queries. IROS 2018: 6049-6056 - [i1]Kalesha Bullard, Nick DePalma, Richard G. Freedman, Bradley Hayes, Luca Iocchi, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Tom Williams:
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018. CoRR abs/1809.06606 (2018) - 2016
- [c6]Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz:
An HRI Approach to Feature Selection. AAAI Fall Symposia 2016 - [c5]Kalesha Bullard:
Embodied Queries for Robot Task Learning. HRI 2016: 599-600 - [c4]Kalesha Bullard, Baris Akgün
Grounding action parameters from demonstration. RO-MAN 2016: 253-260 - 2014
- [c3]Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz:
An HRI Approach to Learning from Demonstration. AAAI Fall Symposia 2014 - [c2]Vivian Chu, Kalesha Bullard, Andrea Lockerd Thomaz:
Multimodal real-time contingency detection for HRI. IROS 2014: 3327-3332 - 2011
- [c1]Y. Qu, S. Pandhiti, Kalesha S. Bullard, Walter D. Potter, K. F. Fezer:
Development of a Genetic Fuzzy Controller for an Unmanned Aerial Vehicle. IEA/AIE (2) 2011: 328-335
Coauthor Index
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last updated on 2024-08-05 20:26 CEST by the dblp team
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