Comments (2)
Thanks for bringing this to my attention!
Currently only Gen 4 Random Battles are being supported for now since it's simple enough but not too far removed from modern gen mechanics so that once I confirm a good ML algorithm and a stable underlying framework I can start writing Gen 5-9 and/or doubles versions. It seems that this libpkmn only supports Gen 1 so I can't use it right now, but once it's more fully featured for higher gens I'd be interested in switching out @pkmn/sim
for it to try and speed up model training.
Thanks for telling me about this library and I'll keep watch for new updates.
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Since the simulator used by this project is written in JavaScript, inevitably part of code will have to remain in that language, while connecting it to the main Python training script (or inference server in PsBot workflow) via an interop library
I'm not sure about the scope this project is interested in (Gen 4? All gens?), but https://github.com/pkmn/engine (which has a Python driver, https://github.com/AnnikaCodes/PyKMN) is a more accurate and much faster engine for Gen 1 (and aims to eventually support further old gens) and may be worth considering.
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Related Issues (20)
- Overlap rollout and update stages in training script
- Reward is always -1
- Reduce game log size
- Rollout model only ever exploring
- Implement TD learning
- Implement multi-step learning
- Use legal actions only when calculating TD target
- Encore not handling Pursuit properly
- Add more model evaluation baselines
- Training memory leak HOT 2
- Use multiple threads for inference during training
- Allow multiple training games per thread
- Add recurrent DQN option
- Add prioritized replay
- Add noisy networks
- Error when running training HOT 10
- Simplify battle stream interface HOT 1
- Request for Assistance with Locking a Party of 6 Pokemon HOT 4
- Description of approach/results HOT 1
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