romangarnett

3 ms·

1. 1.▲
   by romangarnett 9mo ago

   Do you not care if your vector space has a basis?
2. 2.▲
   by romangarnett 5y ago

   That's a fortunate scenario! If you have good noise estimates available then you can sidestep the need to infer the noise scale and instead simply proceed with "typical" heteroskedastic inference. When the observation noise v
3. 3.▲
   by romangarnett 5y ago

   Indeed -- safety in exploration is not a relevant concern in all (or even in most) scenarios. However, in domains such as robotics where certain configurations may have unforeseen and severe consequences, you may want to slow down explorati
4. 4.▲
   by romangarnett 5y ago

   The book includes an annotated bibliography outlining successes in a wide range of areas spanning science and engineering.
5. 5.▲
   by romangarnett 5y ago

   Replying as the author -- I do spend some time discussing hetereoskedastic noise (beginning in §2.2 and intermittedly throughout following chapters), although you're right that I don't discuss this particular modeling approach. Pe
6. 6.▲
   by romangarnett 5y ago

   Some research has explicitly considered the question of safety during exploration; see for example https://arxiv.org/pdf/1602.04450.pdf which includes theoretical analysis of the resulting algorithm.