1.	Reinforcement Learning in Continuous Time and Spaces: Theory and Algorithms
2.	Simulated Annealing and Langevin Diffusions
3.	Behavioral Portfolio Choice and Asset Pricing
4.	Naive and Sophisticated Agents' Behaviors under Time Inconsistency
5.	Forward Preferences
6.	Time-Inconsistent Stopping
7.	Machine Learning in Asset Allocations