Layered learning is a hierarchical machine learning paradigm that enables learning of complex behaviors by incrementally learning a series of sub-behaviors. A key feature of layer...
Civil unrest (protests, strikes, and “occupy” events) is a common occurrence in both democracies and authoritarian regimes. The study of civil unrest is a key topic for politi...
In order to advance action generation and creation in robots beyond simple learned schemas we need computational tools that allow us to automatically interpret and represent human...
In a classic result in the mechanism design literature, Cremer and McLean (1985) show that if buyers’ valuations are sufficiently correlated, a mechanism exists that allows the...
In this paper we present a plan-plan distance metric based on Kolmogorov (Algorithmic) complexity. Generating diverse sets of plans is useful for tasks such as probing user prefer...