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Friday
, July 10
8:30am PDT
Coffee and Welcome
Matisse
8:50am PDT
Thomas G. Diettrerich, Efficient Sampling for Simulator-Defined MDPs
Matisse
10:30am PDT
Matteus Tanha, Tse-Han Huang, Geoffrey J. Gordon and David J. Yaron, Imitation Learning for Accelerating Iterative Computation of Fixed Points
Matisse
10:50am PDT
Matteo Pirotta and Marcello Restelli, On the Minimization of the Policy Gradient in Inverse Reinforcement Learning
Matisse
11:10am PDT
Philip Bachman and Doina Precup, Learning Policies for Data Imputation with Guided Policy Search
Matisse
11:30am PDT
Herke Van Hoof, Jan Peters and Gerhard Neumann, Non-Parametric Policy Learning for High-Dimensional State Representations
Matisse
2:00pm PDT
Invited Talk. Marcus Hutter
Matisse
3:00pm PDT
Jan Leike and Marcus Hutter, On the Optimality of General Reinforcement Learners
Matisse
3:20pm PDT
Ashique Rupam Mahmood, Huizhen Yu, Martha White and Richard Sutton, Emphatic Temporal-Difference Learning
Matisse
3:40pm PDT
Ludovic Denoyer and Patrick Gallinari, Deep Sequential Neural Networks
Matisse
4:00pm PDT
Poster session.
Matisse
5:00pm PDT
Invited Talk. Shie Mannor
Matisse
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11, 2015
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