**Appendix D. Individual Game Results**

In this section we provide the detailed results of the learning algorithms on each individual game.

**Table A3.** In-sample Fit by Game: Mean Quadratic Score \* denotes the best-fitting model based on the mean quadratic score. CBL has five estimated parameters, RL has four estimated parameters, and ST EWA has one estimated parameter. ST EWA refers to the self-tuning EWA, RL refers to reinforcement learning, and CBL refers to case-based learning.



**Table A4.** Out-of-sample Fit by Game Note: \* denotes the best fitting model based on the mean quadratic score. ST EWA refers to the self-tuning EWA, RL refers to reinforcement learning, and CBL refers to case-based learning.
