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Oral
Thu 9:40 Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang · Tianle Liu · Mingsheng Long · Michael Jordan
Poster
Thu 18:30 Bridging Theory and Algorithm for Domain Adaptation
Yuchen Zhang · Tianle Liu · Mingsheng Long · Michael Jordan
Poster
Tue 18:30 Neural Logic Reinforcement Learning
zhengyao jiang · Shan Luo
Poster
Thu 18:30 Batch Policy Learning under Constraints
Hoang Le · Cameron Voloshin · Yisong Yue
Poster
Wed 18:30 Remember and Forget for Experience Replay
Guido Novati · Petros Koumoutsakos
Poster
Wed 18:30 Sever: A Robust Meta-Algorithm for Stochastic Optimization
Ilias Diakonikolas · Gautam Kamath · Daniel Kane · Jerry Li · Jacob Steinhardt · Alistair Stewart
Poster
Tue 18:30 Bayesian Counterfactual Risk Minimization
Ben London · Ted Sandler
Poster
Tue 18:30 A Theory of Regularized Markov Decision Processes
Matthieu Geist · Bruno Scherrer · Olivier Pietquin
Poster
Tue 18:30 Discovering Options for Exploration by Minimizing Cover Time
Yuu Jinnai · Jee Won Park · David Abel · George Konidaris
Poster
Wed 18:30 Provably Efficient Maximum Entropy Exploration
Elad Hazan · Sham Kakade · Karan Singh · Abby Van Soest
Poster
Wed 18:30 Exploration Conscious Reinforcement Learning Revisited
Lior Shani · Yonathan Efroni · Shie Mannor
Poster
Thu 18:30 Learning Structured Decision Problems with Unawareness
Craig Innes · Alex Lascarides