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Spotlights & Poster Session
David Abel · Nicholas Denis · Maria Eckstein · Ronan Fruit · Karan Goel · Joshua Gruenstein · Anna Harutyunyan · Martin Klissarov · Xiangyu Kong · Aviral Kumar · Saurabh Kumar · Miao Liu · Daniel McNamee · Shayegan Omidshafiei · Silviu Pitis · Paulo Rauber · Melrose Roderick · Tianmin Shu · Yizhou Wang · Shangtong Zhang

Sat Dec 09 11:55 AM -- 12:30 PM (PST) @
in Hierarchical Reinforcement Learning »

Author Information

David Abel (Brown University)
Nicholas Denis (University of Ottawa)
Maria Eckstein (UC Berkeley)
Ronan Fruit (Inria Lille)
Karan Goel (Stanford University)
Joshua Gruenstein (Massachusetts Institute of Technology)
Anna Harutyunyan (DeepMind)
Martin Klissarov (McGill University)
Xiangyu Kong (Peking University)
Aviral Kumar (UC Berkeley)

Aviral Kumar is a first-year graduate student pursuing PhD at Berkeley AI Research (BAIR) lab at UC Berkeley. He is interested in Machine Learning and sequential decision making.

Saurabh Kumar (Georgia Institute of Technology)

I am an undergraduate at Georgia Tech conducting research in reinforcement learning and deep learning. I work in the Interactive Machine Learning research group at Georgia Tech. I will be giving a contributed talk on "Federated Control in Hierarchical Multi-Agent Reinforcement Learning" at the Hierarchical Reinforcement Learning workshop and will present a poster on "Learning to Compose Skills" at the Deep Reinforcement Learning Symposium.

Miao Liu (IBM)
Daniel McNamee (University of Cambridge)
Shayegan Omidshafiei (MIT)
Silviu Pitis (Georgia Tech)
Paulo Rauber (IDSIA)
Melrose Roderick (Brown University)
Tianmin Shu (University of California, Los Angeles)
Yizhou Wang (Peking University)
Shangtong Zhang (University of Alberta)

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