Kalesha Bullard

According to our database, Kalesha Bullard authored at least 18 papers between 2011 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Approximating the Core via Iterative Coalition Sampling.

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Reward Design with Language Models.

Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Multi-Agent Reinforcement Learning for Coalitional Bargaining Games.

Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard

Proceedings of the First Tiny Papers Track at ICLR 2023, 2023

2022

Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.

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, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

CoRR, 2022

Developing, evaluating and scaling learning agents in multi-agent environments.

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, Guy Lever, Siqi Liu, Luke Marris, Kevin R. McKee, Paul Muller, Julien Pérolat, Florian Strub, Andrea Tacchetti, Eugene Tarassov, Zhe Wang, Karl Tuyls

AI Commun., 2022

2021

Quasi-Equivalence Discovery for Zero-Shot Emergent Communication.

Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster

CoRR, 2021

2020

Managing Learning Interactions for Collaborative Robot Learning.

Kalesha Bullard

PhD thesis, 2020

Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations.

Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster

CoRR, 2020

2019

Active Learning within Constrained Environments through Imitation of an Expert Questioner.

Kalesha Bullard, Yannick Schroecker, Sonia Chernova

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

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

CoRR, 2018

Towards Intelligent Arbitration of Diverse Active Learning Queries.

Kalesha Bullard, Andrea Lockerd Thomaz, Sonia Chernova

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration.

Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

2016

Grounding action parameters from demonstration.

Kalesha Bullard, Baris Akgün, Sonia Chernova, Andrea Lockerd Thomaz

Proceedings of the 25th IEEE International Symposium on Robot and Human Interactive Communication, 2016

Embodied Queries for Robot Task Learning.

Kalesha Bullard

Proceedings of the Eleventh ACM/IEEE International Conference on Human Robot Interation, 2016

An HRI Approach to Feature Selection.

Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz

Proceedings of the 2016 AAAI Fall Symposia, Arlington, Virginia, USA, November 17-19, 2016, 2016

2014

Multimodal real-time contingency detection for HRI.

Vivian Chu, Kalesha Bullard, Andrea Lockerd Thomaz

Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

An HRI Approach to Learning from Demonstration.

Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz

Proceedings of the 2014 AAAI Fall Symposia, Arlington, Virginia, USA, November 13-15, 2014, 2014

2011

Development of a Genetic Fuzzy Controller for an Unmanned Aerial Vehicle.

Y. Qu, S. Pandhiti, Kalesha S. Bullard, Walter D. Potter, K. F. Fezer

Proceedings of the Modern Approaches in Applied Intelligence, 2011