Kalesha Bullard

Publication Activity (10 Years)

Years Active: 2014-2024
Publications (10 Years): 17

Top Venues

CoRR

AAAI Fall Symposia

IROS

ICRA

Georgia Institute of Technology, Atlanta, GA, USA (PHD)

Education History

Georgia Institute of Technology, Atlanta, GA, USA

PHD

Publications

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)
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 (2024)
Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh
Reward Design with Language Models. CoRR (2023)
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)
Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh
Reward Design with Language Models. ICLR (2023)
Ian M. 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, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, evaluating and scaling learning agents in multi-agent environments. AI Commun. 35 (4) (2022)
Ian M. Gemp, Thomas W. Anthony, Yoram Bachrach, Avishkar Bhoopchand, Kalesha Bullard, Jerome T. Connor, Vibhavari Dasagi, Bart De Vylder, Edgar Duéñez-Guzmán, Romuald Elie, Richard Everett, Daniel Hennes, Edward Hughes, Mina Khan, Marc Lanctot, Kate Larson, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments. CoRR (2022)
Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication. CoRR (2021)
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. CoRR (2020)
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Active Learning within Constrained Environments through Imitation of an Expert Questioner. CoRR (2019)
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
Active Learning within Constrained Environments through Imitation of an Expert Questioner. IJCAI (2019)
Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz
Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration. ICRA (2018)
Kalesha Bullard, Andrea Lockerd Thomaz, Sonia Chernova
Towards Intelligent Arbitration of Diverse Active Learning Queries. IROS (2018)
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 (2018)
Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz
An HRI Approach to Feature Selection. AAAI Fall Symposia (2016)
Kalesha Bullard, Baris Akgün, Sonia Chernova, Andrea Lockerd Thomaz
Grounding action parameters from demonstration. RO-MAN (2016)
Kalesha Bullard
Embodied Queries for Robot Task Learning. HRI (2016)
Vivian Chu, Kalesha Bullard, Andrea Lockerd Thomaz
Multimodal real-time contingency detection for HRI. IROS (2014)
Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz
An HRI Approach to Learning from Demonstration. AAAI Fall Symposia (2014)

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Publication Activity (10 Years)

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Kalesha Bullard