Trying to figure out why poker AI hasn't been solved (in the sense that chess AI has been solved).
Some great resources on poker AI: University of Alberta Computer Poker Research Group. Papp 1998 in particular goes into detail about what makes it difficult, briefly: multiple opponents, imperfect knowledge, risk management, agent modeling, deception, and dealing with unreliable information. To these I would add the distinction between optimal and maximal play:
In chess AI, it never really matters what you expect your opponent to do like it does in poker. In chess, you just always try to move the board into the most favorable possible state. A win is a win...
This is the supposedly-bimonthly-but-we-missed-April-and-June-2013 'What are you working On?' thread. Previous threads are here. So here's the question:
What are you working on?
Here are some guidelines: