The main difference between Bayesian learning and reinforcement learning in asset valuation is that

Question $48$Answer

a$.$

Bayesian learners update their value estimates using all past realized returns, whereas in reinforcement learning, the value estimate only reflects the most recent outcome.

b$.$

Bayesian learners tend to continue investing in an asset after prior losses, whereas reinforcement learners tend to switch to other investments.

c$.$

Bayesian learners try to infer the return distributions of the assets whereas reinforcement learners try to predict next returns from observing current returns.

d$.$

None of the options in this question.