Sort by
Refine Your Search
-
Category
-
Country
-
Program
-
Field
-
-ergodic dynamics, such an average may differ arbitrarily from what the individual agent experiences as it lives out one trajectory over time. Furthermore, RL typically seeks a time-invariant policy that
-
decision is correct, and performance can deteriorate when a robot encounters conditions that differ from its training data. A robot operating in the real world therefore needs more than an accurate
-
reset, failures can be irreversible, and the real world keeps changing. Standard RL finds policies by optimizing over many hypothetical futures. Under non-ergodic dynamics, such an average may differ
-
design rules. This allows us to shift from the standard imaging question of "what is the structure of this sample?" to "how does the structure differ from the known design?". The second question can
-
Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
energy-efficient, as it can be preserved at ambient temperature provided it is protected from light and humidity. Goal The goal of the project is to develop an algorithm to allow robust retrieval of data
-
optimisation, this is justified primarily by the fact that the decision space and the objective function(s) can differ greatly between problems, but also by the observation that so can the