Comments (1)
I just came from there... PGX is using mctx from deepmind. It's great, but the thing is.. it doesn't implement subtree saving. This means every iteration, it throws out all the search data from the previous iteration and starts again. According to google-deepmind/mctx#51 this is intentional, due to the library being focused on MuZero. If you are implementing a model (as opposed to learning one), then I think subtree saving is something you want to have, as it would allow you to search a lot deeper with the same amount of compute. In fact lowrollr wrote a fork of MCTX where it was implemented. This is one of the reasons I'm giving turbozero a look.
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Related Issues (10)
- LazyZero-based training sample commands fail with "invalid multinomial distribution" HOT 7
- Dirilecht instead of dirichlet in mcts HOT 1
- AlphaZero+MCTS: Visit probabilities for invalid actions can be non-zero HOT 3
- speed issue HOT 1
- bug HOT 34
- allow for running w/ multiple gpus and provide an example HOT 1
- allow for user-specified data augmentation in Trainer HOT 1
- Batch MCTS is needed !!! HOT 7
- Hey, Could you please share your baseline runs? HOT 1
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