Actor-critic is a temporal difference algorithm used in reinforcement learning. It consists of two networks: the actor, which decides which action to take, and the critic, which evaluates the action produced by the actor by computing the value function and informs the actor how good the action was and how it should adjust. In simple terms, the actor-critic is a temporal difference version of policy gradient. The learning of the actor is based on a policy gradient approach.

Ada Louise Huxtable

I like the spirit of proof-of-stake because it tries to solve the problem, but I’m going to point out two things: Proof-of-stake is not yet proven, and, prior to proof-of-work, nobody was sure that decentralized consensus was possible. When proof-of-work gained acceptance, computer scientists were running naked in the streets with excitement. Therefore I default to extreme skepticism - but I’ll keep my eye out for any nerdy-looking streakers. Anybody who’s been involved in crypto-currencies for more than a year who smoothly transitions from “PoW is a great revolution” to “obviously PoW was never the long term solution” deserves a hard poke in the eye for the duration of my choosing.

Chrome OS defenders can come up with some janky web or Android apps that roughly emulate some of these use cases, but none of them are the kind of industry-defining programs you get on other platforms. This is the third generation of these premium Chrome OS flagships, though, so Google must be happy with the presumably low-volume sales of a device like this. If you liked the other Chromebook Pixels, you’ll like this one, but nothing here closes the gap between Chrome OS and other laptop OSes.

True criticism is a lib-eral and humane art. It is the offspring of good sense and refined taste. It aims at acquiring a just discernment of the real merit of authors.

Ostati ili otići iz ugla programera