Slide 1R EINFORCEMENT L EARNING Slide 2 A GENDA Online learning Reinforcement learning Model-free vs. model-based Passive vs. active learning Exploration-exploitation tradeoff…

Slide 1 Learnings from Pre-approval Joint Inspection of a GSK QbD Product with US-FDA & EMA and the application of Continuous Verification 17 May 2011, Beijing, China…

Harnessing the Strengths of Anytime Algorithms for Constant Data Streams Philipp Kranen, Thomas Seidl Data Management and Data Exploration Group RWTH Aachen University, Germany…

Uncertainty in Sensing (and action) Reinforcement Learning 1 Agenda Online learning Reinforcement learning Model-free vs. model-based Passive vs. active learning Exploration-exploitation…

Uncertainty in Sensing (and action) Reinforcement Learning 1 Agenda Online learning Reinforcement learning Model-free vs. model-based Passive vs. active learning Exploration-exploitation…

Slide 1 Learnings from Pre-approval Joint Inspection of a GSK QbD Product with US-FDA & EMA and the application of Continuous Verification 17 May 2011, Beijing, China…

1.• Cognizant 20-20 InsightsCIS Transformation: Unlocking the Value of Utilities’ Customer Information Systems To remain competitive amid continuing economic uncertainty…