Organizers

	Virginie Do PSL University (Université Paris Dauphine) and Meta AI (Facebook AI Research)	Virginie Do is a PhD candidate in Computer Science at Université Paris Dauphine – PSL and Meta AI (Facebook AI Research). Her research is on fairness in machine learning and social choice theory, with a specific focus on ranking and recommender systems, and online algorithms.
	Thorsten Joachims Cornell University	Thorsten Joachims is a professor of Computer Science and of Information Science at Cornell University. His research interests center on a synthesis of theory and system building in machine learning, with applications in online search and recommendation systems. His recent focus is on off-policy contextual bandit learning, off-policy evaluation, fairness in ranking, and bias and fairness in two-sided online markets.
	Alessandro Lazaric Meta AI (Facebook AI Research)	Alessandro Lazaric is a research scientist at the Facebook AI Research (FAIR) lab since 2017 and he was previously a researcher at Inria in the SequeL team. His main research topic is reinforcement learning, with extensive contributions on both the theoretical and algorithmic aspects of RL. He has co-organized the workshop on Prediction and Generative Modeling in Reinforcement Learning at ICML 2018 and the European Workshop on Reinforcement Learning in 2015 (EWRL-12) and 2018 (EWRL-14).
	Joelle Pineau McGill University, Meta AI (Facebook AI Research) and Mila	Joelle Pineau is an Associate Professor and William Dawson Scholar at the School of Computer Science at McGill University, where she co-directs the Reasoning and Learning Lab. She is a core academic member of Mila and a Canada CIFAR AI chairholder. She is also co-Managing Director of Facebook AI Research. Dr Pineau’s research focuses on developing new models and algorithms for planning and learning in complex partially-observable domains. She also works on applying these algorithms to complex problems in robotics, health care, games and conversational agents.
	Matteo Pirotta Meta AI (Facebook AI Research)	Matteo Pirotta is a research scientist at the Facebook AI Research (FAIR) lab since 2018. He received his PhD in computer science from the Politecnico di Milano (Italy) in 2016. For his doctoral thesis in reinforcement learning, he received the Dimitris N. Chorafas Foundation Award and an honorable mention for the EurAI Distinguished Dissertation Award. His main research interest is in reinforcement learning, including responsible decision-making. He has co-organized the workshop on Prediction and Generative Modeling in Reinforcement Learning at ICML 2018 and the European Workshop on Reinforcement Learning in 2018 (EWRL-14).
	Harsh Satija McGill University and Mila	Harsh Satija is a computer science Ph.D. candidate at McGill University and Mila, Montreal. His research focuses on reinforcement learning, with an emphasis on reinforcement learning under safety constraints.
	Nicolas Usunier Meta AI (Facebook AI Research)	Nicolas Usunier is a research scientist at FAIR Labs (now part of Meta AI) since 2015. He was previously Associate Professor at Université de Technologie de Compiègne, France, with a chair position from the CNRS-Higher Education Chairs program. His research interests include algorithmic fairness, recommender systems and reinforcement learning.