Kalesha Bullard

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All published works

Action	Title	Year	Authors
+ PDF Chat	Approximating the Core via Iterative Coalition Sampling	2024	Ian Gemp Marc Lanctot Luke Marris Yiran Mao Edgar A. Duéñez‐Guzmán Sarah Perrin András György Romuald Élie Georgios Piliouras Michael Kaisers
+	Reward Design with Language Models	2023	Minae Kwon Sang Michael Xie Kalesha Bullard Dorsa Sadigh
+ PDF Chat	Developing, evaluating and scaling learning agents in multi-agent environments	2022	Ian Gemp Thomas Anthony Yoram Bachrach Avishkar Bhoopchand Kalesha Bullard Jerome T. Connor Vibhavari Dasagi Bart De Vylder Edgar A. Duéñez‐Guzmán Romuald Élie
+	Developing, Evaluating and Scaling Learning Agents in Multi-Agent Environments	2022	Ian Gemp T Anthony Yoram Bachrach Avishkar Bhoopchand Kalesha Bullard Jerome J. Connor Vibhavari Dasagi Bart De Vylder Edgar A. Duéñez‐Guzmán Romuald Élie
+	Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations	2021	Kalesha Bullard Franziska Meier Douwe Kiela Joëlle Pineau Jakob Foerster
+	Quasi-Equivalence Discovery for Zero-Shot Emergent Communication	2021	Kalesha Bullard Douwe Kiela Joëlle Pineau Jakob Foerster
+	Exploring Zero-Shot Emergent Communication in Embodied Multi-Agent Populations	2020	Kalesha Bullard Franziska Meier Douwe Kiela Joëlle Pineau Jakob Foerster
+	Active Learning within Constrained Environments through Imitation of an Expert Questioner	2019	Kalesha Bullard Yannick Schroecker Sonia Chernova
+	Active Learning within Constrained Environments through Imitation of an Expert Questioner	2019	Kalesha Bullard Yannick Schroecker Sonia Chernova
+	Proceedings of the AI-HRI Symposium at AAAI-FSS 2019	2019	Kalesha Bullard Nick DePalma Richard G. Freedman Bradley Hayes Luca Iocchi Katrin S. Lohan Ross Mead Emmanuel Senft Tom Williams
+	Active Learning within Constrained Environments through Imitation of an Expert Questioner	2019	Kalesha Bullard Yannick Schroecker Sonia Chernova

Common Coauthors

Coauthor	Papers Together
Kate Larson	3
Yoram Bachrach	3
Douwe Kiela	3
Sonia Chernova	3
Edgar A. Duéñez‐Guzmán	3
Jakob Foerster	3
Luke Marris	3
Marc Lanctot	3
Daniel Hennes	3
Ian Gemp	3
Romuald Élie	3
Yannick Schroecker	3
Joëlle Pineau	3
Bart De Vylder	2
Edward Hughes	2
Richard Everett	2
Karl Tuyls	2
Vibhavari Dasagi	2
Kevin R. McKee	2
Florian Strub	2
Avishkar Bhoopchand	2
Guy Lever	2
Julien Pérolat	2
Mina Khan	2
Andrea Tacchetti	2
Franziska Meier	2
Eugene Tarassov	2
Siqi Liu	2
Zhe Wang	2
Ross Mead	1
Sarah Perrin	1
Emmanuel Senft	1
Sang Michael Xie	1
Michael Kaisers	1
Tom Williams	1
Katrin S. Lohan	1
Paul Müller	1
Jerome J. Connor	1
Georgios Piliouras	1
Thomas Anthony	1
Dorsa Sadigh	1
Luca Iocchi	1
Richard G. Freedman	1
Nick DePalma	1
T Anthony	1
Minae Kwon	1
Jerome T. Connor	1
Yiran Mao	1
Paul Müller	1
András György	1

Commonly Cited References

Action	Title	Year	Authors	# of times referenced
+ PDF Chat	How agents see things: On visual representations in an emergent language game	2018	Diane Bouchacourt Marco Baroni	2
+ PDF Chat	Natural Language Does Not Emerge ‘Naturally’ in Multi-Agent Dialog	2017	Satwik Kottur José M. F. Moura Stefan Lee Dhruv Batra	2
+	Emergent Communication through Negotiation	2018	Kris Cao Angeliki Lazaridou Marc Lanctot Joel Z. Leibo Karl Tuyls Stephen Clark	2
+	Emergent Linguistic Phenomena in Multi-Agent Communication Games	2019	Laura Graesser Kyunghyun Cho Douwe Kiela	2
+ PDF Chat	The symbol grounding problem	1990	Stevan Harnad	2
+	Biases for Emergent Communication in Multi-agent Reinforcement Learning	2019	Tom Eccles Yoram Bachrach Guy Lever Angeliki Lazaridou Thore Graepel	2
+	Learning to Communicate with Deep Multi−Agent Reinforcement Learning	2016	Jakob Foerster Ioannis Alexandros Assael Nando de Freitas Shimon Whiteson	2
+	"Other-Play" for Zero-Shot Coordination	2020	Hengyuan Hu Adam Lerer Alex Peysakhovich Jakob Foerster	2
+	Emergent Communication in a Multi-Modal, Multi-Step Referential Game	2017	Katrina Evtimova Andrew Drozdov Douwe Kiela Kyunghyun Cho	2
+	"Other-Play" for Zero-Shot Coordination	2020	Hengyuan Hu Alexander Peysakhovich Adam Lerer Jakob Foerster	2
+	Emergence of Language with Multi-agent Games: Learning to Communicate with Sequences of Symbols	2017	Serhii Havrylov Ivan Titov	2
+ PDF Chat	On the Convergence of Model Free Learning in Mean Field Games	2020	Romuald Élie Julien Pérolat Mathieu Laurière Matthieu Geist Olivier Pietquin	1
+	Emergent Multi-Agent Communication in the Deep Learning Era.	2020	Angeliki Lazaridou Marco Baroni	1
+	Learning to Incentivize Other Learning Agents	2020	Jiachen Yang Ang Li Mehrdad Farajtabar Peter Sunehag Edward Hughes Hongyuan Zha	1
+ PDF Chat	Mean–field moral hazard for optimal energy demand response management	2020	Romuald Élie Emma Hubert Thibaut Mastrolia Dylan Possamaï	1
+ PDF Chat	Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries	2018	Chandrayee Basu Mukesh Singhal Anca D. Dragan	1
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	1
+ PDF Chat	Contact rate epidemic control of COVID-19: an equilibrium view	2020	Romuald Élie Emma Hubert Gabriel Turinici	1
+ PDF Chat	Mean Field Games and systemic risk	2015	René Carmona Jean‐Pierre Fouque Li-Hsien Sun	1
+	Neural Recursive Belief States in Multi-Agent Reinforcement Learning	2021	Pol Blasco Moreno Edward Hughes Kevin R. McKee Bernardo Ávila Pires Théophane Weber	1
+ PDF Chat	Game Plan: What AI can do for Football, and What Football can do for AI	2021	Karl Tuyls Shayegan Omidshafiei Paul Müller Zhe Wang Jerome J. Connor Daniel Hennes Ian Graham William Spearman Tim Waskett D. I. Steel	1
+	Learning Equilibria in Mean-Field Games: Introducing Mean-Field PSRO	2021	Paul Müller Mark Rowland Romuald Élie Georgios Piliouras Julien Pérolat Mathieu Laurière Raphaël Marinier Olivier Pietquin Karl Tuyls	1
+	Learning to Play No-Press Diplomacy with Best Response Policy Iteration	2020	T Anthony Tom Eccles Andrea Tacchetti János Kramár Ian Gemp Thomas C. Hudson Nicolas Porcel Marc Lanctot Julien Pérolat Richard Everett	1
+ PDF Chat	Interactive Policy Learning through Confidence-Based Autonomy	2009	Sonia Chernova Manuela Veloso	1
+	Real World Games Look Like Spinning Tops	2020	Wojciech Marian Czarnecki Gauthier Gidel Brendan Tracey Karl Tuyls Shayegan Omidshafiei David Balduzzi Max Jaderberg	1
+	Learning to Communicate with Deep Multi-Agent Reinforcement Learning	2016	Jakob Foerster Yannis Assael Nando de Freitas Shimon Whiteson	1
+	Multi-Agent Cooperation and the Emergence of (Natural) Language	2016	Angeliki Lazaridou Alexander Peysakhovich Marco Baroni	1
+	FOR LEAST-SQUARES POLICY ITERATION	2016	Devin Schwab	1
+ PDF Chat	Learning from Richer Human Guidance: Augmenting Comparison-Based Learning with Feature Queries	2018	Chandrayee Basu Mukesh Singhal Anca D. Dragan	1
+ PDF Chat	An Algorithmic Perspective on Imitation Learning	2018	Takayuki Osa Joni Pajarinen Gerhard Neumann J. Andrew Bagnell Pieter Abbeel Jan Peters	1
+	Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning	2018	Natasha Jaques Angeliki Lazaridou Edward Hughes Çaǧlar Gülçehre Pedro A. Ortega DJ Strouse Joel Z. Leibo Nando de Freitas	1
+	Negotiating team formation using deep reinforcement learning	2020	Yoram Bachrach Richard Everett Edward Hughes Angeliki Lazaridou Joel Z. Leibo Marc Lanctot Michael Johanson Wojciech Marian Czarnecki Thore Graepel	1
+	Multi-Agent Cooperation and the Emergence of (Natural) Language	2016	Angeliki Lazaridou Alexander Peysakhovich Marco Baroni	1
+	Learning continuous control policies by stochastic value gradients	2015	Nicolas Heess Greg Wayne David Silver Timothy Lillicrap Yuval Tassa Tom Erez	1
+	Computing Approximate Equilibria in Sequential Adversarial Games by Exploitability Descent	2019	Edward Lockhart Marc Lanctot Julien Pérolat Jean-Baptiste Lespiau Dustin Morrill Finbarr Timbers Karl Tuyls	1