I wrote this post during my scholarship at MATS. My goal is to describe a research direction of the learning theoretic agenda (LTA). Namely, a natural infra-Bayesian learning algorithm proposal that arguably leads to Pareto-optimal solutions in repeated games. The idea originates from Vanessa, I'm expanding a draft of her into a more accessible description.
The expected audience are people who are interested in ongoing work on LTA. It is especially suitable for people who are looking for a research direction to pursue in this area.
There has been much work on the theory of agents who cooperate in the Prisoner's dilemma and other situations. Some call this behavior superrationality. For example, functional decision... (read 5875 more words →)
If I read 1-2 papers in a day in detail, I wouldn't do much else. I guess people get better at this to some extent. I'm wondering if this is something I just need to carry on doing and eventually I'll get better at it or there are some other ways to make this process more efficient.