Seeking Play Histories and Strategic Approaches for Reinforcement Learning on CMO's Korean Missile Crisis

[Danielbono]

Hello everyone,
I'm a user interested in playing the Command: Modern Operations (CMO) game using reinforcement learning techniques. I have selected the "Korean Missile Crisis" scenario to train my reinforcement learning agent, and I would like to utilize the diverse approaches taken by different players.
If anyone is willing to share their play histories for this scenario or if you believe your approach was particularly strategic, please leave a comment below!
By incorporating various player strategies into the training data, I hope to develop a more robust and versatile reinforcement learning agent for this challenging scenario. Your contributions would be greatly appreciated!
Thank you in advance for your help.