Could you perhaps speak to some of the engineering details that the paper glosses over. E.g.:
- Are the action and information abstraction procedures hand-engineered or learned in some manner?
- How does it decide how many bets to consider in a particular situation?
- Is there anything interesting going on with how the strategy is compressed in memory?
- How do you decide in the first betting round if a bet is far enough off-tree that online search is needed?
- When searching beyond leaf nodes, how did you choose how far to bias the strategies toward calling, raising, and folding?
- After it calculates how it would act with every possible hand, how does it use that to balance its strategy while taking into account the hand it is actually holding?
- In general, how much do these kind of engineering details and hyperparameters matter to your results and to the efficiency of training? How much time did you spend on this? Roughly how many lines of code are important for making this work?
- Why does this training method work so well on CPUs vs GPUs? Do you think there are any lessons here that might improve training efficiency for 2-player perfect-information systems such as AlphaZero?
- Are the action and information abstraction procedures hand-engineered or learned in some manner?
- How does it decide how many bets to consider in a particular situation?
- Is there anything interesting going on with how the strategy is compressed in memory?
- How do you decide in the first betting round if a bet is far enough off-tree that online search is needed?
- When searching beyond leaf nodes, how did you choose how far to bias the strategies toward calling, raising, and folding?
- After it calculates how it would act with every possible hand, how does it use that to balance its strategy while taking into account the hand it is actually holding?
- In general, how much do these kind of engineering details and hyperparameters matter to your results and to the efficiency of training? How much time did you spend on this? Roughly how many lines of code are important for making this work?
- Why does this training method work so well on CPUs vs GPUs? Do you think there are any lessons here that might improve training efficiency for 2-player perfect-information systems such as AlphaZero?