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Broadly speaking, I am interested in the algorithmic and computational aspects of. With a particular emphasis on scalable and efficient approaches for online Reinforcement Learning agents. Consider an agent let loose in an unknown world with only a crude reward signal and limited sensor information as feedback. An agent that can be expected to accumulate a lot of reward in many different worlds can be viewed as being.