It's not obvious to me that the ex ante approach would offer more action-guidance for FAI. Our preferences over acts seem easier to observe than our internal utilities over outcomes. An extrapolation effort might use both kinds of data, of course.
For the moment I was just thinking of the ex ante approach in the context of offering action guidance to humans. The ex post approach can't offer any direct advice for what to do because an agent that can state its preferences over acts already knows what to do. What I want to do is state how much I value different outcomes and what probability distributions I have over states of affairs, and have a decision theory tell me which action I can take to maximize my expected utility. It seems that Peterson's ex ante approach is the only approach that can provide this for me.
In the standard approach to axiomatic Bayesian decision theory, an agent (a decision maker) doesn't prefer Act #1 to Act #2 because the expected utility of Act #1 exceeds that of Act #2. Instead, the agent states its preferences over a set of risky acts, and if these stated preferences are consistent with a certain set of axioms (e.g. the VNM axioms, or the Savage axioms), it can be proven that the agent's decisions can be described as if the agent were assigning probabilities and utilities to outcomes and then maximizing expected utility. (Let's call this the ex post approach.)
Peterson (2004) introduces a different approach, which he calls the ex ante approach. In many ways, this approach is more intuitive. The agent assigns probabilities and utilities directly to outcomes (not acts), and these assignments are used to generate preferences over acts. Using this approach, Peterson claims to have shown that the principle of expected utility maximization can be derived from just four axioms.
As Peterson (2009:75,77) explains:
Jensen (2012:428) calls the ex ante approach "controversial," but I can't find any actual published rebuttals to Peterson (2004), so maybe Jensen just means that Peterson's result is "new and not yet percolated to the broad community."
Peterson (2008) explores the ex ante approach in more detail, under the unfortunate title of "non-Bayesian decision theory." (No, Peterson doesn't reject Bayesianism.) Cozic (2011) is a review of Peterson (2008) that may offer the quickest entry point into the subject of ex ante axiomatic decision theory.
Peterson (2009:210) illustrates the controversy nicely:
I'm not a decision theory expert, so I'd be very curious to hear what LW's decision theorists think of the axiomatization in Peterson (2004) — whether it works, and how significant it is.