NIPS: Spotlight Session 7: Reinforcement Learning Spotlights

  • Bilal Piot, Sergey Levine, Ian Osband, Yuri Grinberg, Marek Petrik, and Maximillian Nickel

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

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