Russian humanoid robot Green danced for President Vladimir Putin at a Moscow AI exhibition, introducing itself as the first Russian robot with embedded artificial intelligence.

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Existing approaches rely on various local heuristics for enforcing the acyclicity constraint.

Of particular interest is the inter-atomic potential energy surface (PES).

Neural Information Processing Systems http://nips.cc/

Ridge leverage scores provide a balance between low-rank approximation and regularization, and are ubiquitous in randomized linear algebra and machine learning. Deterministic algorithms are also of interest in the moderately big data regime, because deterministic algorithms provide interpretability to the practitioner by having no failure probability and always returning the same results.

However, the undirected setting is often insufficient: only a causal (i.e., directed) network provides

We are also able to establish the accelerated linear rate for a function which is both strongly-convex and smooth.

The majority of algorithms involve building an explicit map during an exploration phase and then planning and acting via that representation. In this work, we are interested in pushing the limits of end-to-end deep reinforcement learning for navigation by proposing new methods and demonstrating their performance in large-scale, real-world environments.