
Sign up to save your podcasts
Or


When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in. In many applications the manner in which the state changes from one to another is not completely predictable, thus, there is uncertainty over how it transitions from state to state. Further, in many applications, one cannot directly observe the true state, and thus we describe such situations as partially observable state spaces. This episode explores what this means and why it is important in the context of chess, poker, and the mood of Yoshi the lilac crowned amazon parrot.
By Kyle Polich4.4
475475 ratings
When dealing with dynamic systems that are potentially undergoing constant change, its helpful to describe what "state" they are in. In many applications the manner in which the state changes from one to another is not completely predictable, thus, there is uncertainty over how it transitions from state to state. Further, in many applications, one cannot directly observe the true state, and thus we describe such situations as partially observable state spaces. This episode explores what this means and why it is important in the context of chess, poker, and the mood of Yoshi the lilac crowned amazon parrot.

290 Listeners

622 Listeners

584 Listeners

302 Listeners

332 Listeners

228 Listeners

205 Listeners

205 Listeners

306 Listeners

96 Listeners

516 Listeners

262 Listeners

130 Listeners

228 Listeners

624 Listeners