NIPS: Spotlight Session 7: Reinforcement Learning Spotlights

Опубликовано 18 августа 2016, 18:46

B. Piot, M. Geist, O. Pietquin Difference of Convex Functions Programming for Reinforcement Learning S. Levine, P. Abbeel Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics I. Osband, B. Van Roy Near-optimal Reinforcement Learning in Factored MDPs Y. Grinberg, D. Precup, M. Gendreau Optimizing Energy Production Using Policy Search and Predictive State Representations M. Petrik, D. Subramanian RAAM: The Benefits of Robustness in Approximating Aggregated MDPs in Reinforcement Learning M. Nickel, X. Jiang, V. Tresp Reducing the Rank in Relational Factorization Models by Including Observable Patterns