Development of a Genetic Fuzzy Controller for an Unmanned Aerial Vehicle. - Y. Qu; S. Pandhiti; Kalesha S. Bullard; Walter D. Potter; K. F. Fezer (IEA/AIE (2), 2011)

An HRI Approach to Learning from Demonstration. - Baris Akgün; Kalesha Bullard; Vivian Chu; Andrea Thomaz (AAAI Fall Symposia, 2014)

Multimodal real-time contingency detection for HRI. - Vivian Chu; Kalesha Bullard; Andrea Lockerd Thomaz (IROS, 2014)

An HRI Approach to Feature Selection. - Kalesha Bullard; Sonia Chernova; Andrea Lockerd Thomaz (AAAI Fall Symposia, 2016)

Embodied Queries for Robot Task Learning. - Kalesha Bullard (HRI, 2016)

Grounding action parameters from demonstration. - Kalesha Bullard; Baris Akgün; Sonia Chernova; Andrea Lockerd Thomaz (RO-MAN, 2016)

Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration. - Kalesha Bullard; Sonia Chernova; Andrea Lockerd Thomaz (ICRA, 2018)

Towards Intelligent Arbitration of Diverse Active Learning Queries. - Kalesha Bullard; Andrea Lockerd Thomaz; Sonia Chernova (IROS, 2018)

Proceedings of the AI-HRI Symposium at AAAI-FSS 2018. - Kalesha Bullard; Nick DePalma; Richard G. Freedman; Bradley Hayes; Luca Iocchi; Katrin S. Lohan; Ross Mead; Emmanuel Senft; Tom Williams 001 (CoRR, 2018)

Active Learning within Constrained Environments through Imitation of an Expert Questioner. - Kalesha Bullard; Yannick Schroecker; Sonia Chernova (IJCAI, 2019)

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations. - Kalesha Bullard; Franziska Meier; Douwe Kiela; Joelle Pineau; Jakob N. Foerster (CoRR, 2020)

Managing Learning Interactions for Collaborative Robot Learning. - Kalesha Bullard (2020)

Quasi-Equivalence Discovery for Zero-Shot Emergent Communication. - Kalesha Bullard; Douwe Kiela; Joelle Pineau; Jakob N. Foerster (CoRR, 2021)

Developing, evaluating and scaling learning agents in multi-agent environments. - Ian Gemp; Thomas W. Anthony 001; Yoram Bachrach; Avishkar Bhoopchand; Kalesha Bullard; Jerome T. Connor; Vibhavari Dasagi; Bart De Vylder; Edgar A. Duéñez-Guzmán; Romuald Elie; Richard Everett 001; Daniel Hennes; et al. (AI Commun., 2022)

Multi-Agent Reinforcement Learning for Coalitional Bargaining Games. - Lucia Cipolina-Kun; Stephen Mak; Ignacio Carlucho; Vahid Yazdanpanah; Sebastian Stein 001; Enrico H. Gerding; Kalesha Bullard (Tiny Papers @ ICLR, 2023)

Reward Design with Language Models. - Minae Kwon; Sang Michael Xie; Kalesha Bullard; Dorsa Sadigh (ICLR, 2023)

Approximating the Core via Iterative Coalition Sampling. - Ian Gemp; Marc Lanctot; Luke Marris; Yiran Mao; Edgar A. Duéñez-Guzmán; Sarah Perrin; András György 001; Romuald Elie; Georgios Piliouras; Michael Kaisers; Daniel Hennes; Kalesha Bullard; et al. (AAMAS, 2024)