The main difference between Bayesian learning and reinforcement learning in asset valuation is that Question 11Answer a. Bayesian learners update their value estimates using all past realized returns, whereas reinforcement learners only use 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 focus on inferring the correlation between outcomes across time d. None of the options in this