Kalesha Bullard

20 papers A* 4A 3B 1Journal 8Unranked 3
YearRankTypeTitle / Venue / Authors
2024 A conf
Approximating the Core via Iterative Coalition Sampling.
AAMAS
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2024 J jnl
Approximating the Core via Iterative Coalition Sampling.
CoRR
Ian Gemp, Marc Lanctot, Luke Marris, Yiran Mao, Edgar A. Duéñez-Guzmán, Sarah Perrin, András György, Romuald Elie, Georgios Piliouras, Michael Kaisers, Daniel Hennes, Kalesha Bullard, Kate Larson, Yoram Bachrach
2023 — conf
Multi-Agent Reinforcement Learning for Coalitional Bargaining Games.
Tiny Papers @ ICLR
Lucia Cipolina-Kun, Stephen Mak, Ignacio Carlucho, Vahid Yazdanpanah, Sebastian Stein, Enrico H. Gerding, Kalesha Bullard
2023 A* conf
Reward Design with Language Models.
ICLR
Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh
2023 J jnl
Reward Design with Language Models.
CoRR
Minae Kwon, Sang Michael Xie, Kalesha Bullard, Dorsa Sadigh
2022 J jnl
Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments.
CoRR
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
2022 J jnl
Developing, evaluating and scaling learning agents in multi-agent environments.
AI Commun.
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
2021 J jnl
Quasi-Equivalence Discovery for Zero-Shot Emergent Communication.
CoRR
Kalesha Bullard, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
2020 J jnl
Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations.
CoRR
Kalesha Bullard, Franziska Meier, Douwe Kiela, Joelle Pineau, Jakob N. Foerster
2020 — —
Managing Learning Interactions for Collaborative Robot Learning.
Kalesha Bullard
2019 A* conf
Active Learning within Constrained Environments through Imitation of an Expert Questioner.
IJCAI
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
2019 J jnl
Active Learning within Constrained Environments through Imitation of an Expert Questioner.
CoRR
Kalesha Bullard, Yannick Schroecker, Sonia Chernova
2018 A* conf
Human-Driven Feature Selection for a Robotic Agent Learning Classification Tasks from Demonstration.
ICRA
Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz
2018 J jnl
Proceedings of the AI-HRI Symposium at AAAI-FSS 2018.
CoRR
Kalesha Bullard, Nick DePalma, Richard G. Freedman, Bradley Hayes, Luca Iocchi, Katrin S. Lohan, Ross Mead, Emmanuel Senft, Tom Williams
2018 A conf
Towards Intelligent Arbitration of Diverse Active Learning Queries.
IROS
Kalesha Bullard, Andrea Lockerd Thomaz, Sonia Chernova
2016 — conf
An HRI Approach to Feature Selection.
AAAI Fall Symposia
Kalesha Bullard, Sonia Chernova, Andrea Lockerd Thomaz
2016 A* conf
Embodied Queries for Robot Task Learning.
HRI
Kalesha Bullard
2016 B conf
Grounding action parameters from demonstration.
RO-MAN
Kalesha Bullard, Baris Akgün, Sonia Chernova, Andrea Lockerd Thomaz
2014 — conf
An HRI Approach to Learning from Demonstration.
AAAI Fall Symposia
Baris Akgün, Kalesha Bullard, Vivian Chu, Andrea Thomaz
2014 A conf
Multimodal real-time contingency detection for HRI.
IROS
Vivian Chu, Kalesha Bullard, Andrea Lockerd Thomaz