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Use legacy kind of agents to run on the new environment.
It seems that what you want to achieve is not supported, the structure is different. The main problem as I see it is that the observation state is constructed differently, so the "new" state can not be directly given to the "legacy" agent. But even if this is resolved, still need to write wrappers to fit the structure. Maybe it is worth doing this work. You can open an issue on the github.
@vitoque-git , sorry for the delay. Could I learn a bit more about what you are looking for? Do you have an official format python agent, and you'd like to simulate games faster to measure success rate faster or similar? Or do you have an official format python agent structured for RL with the kaggle environment wrapper, and you'd like to port it over?
Use legacy kind of agents to run on the new environment.
It seems that what you want to achieve is not supported, the structure is different. The main problem as I see it is that the observation state is constructed differently, so the "new" state can not be directly given to the "legacy" agent. But even if this is resolved, still need to write wrappers to fit the structure. Maybe it is worth doing this work. You can open an issue on the github.
https://www.kaggle.com/c/lux-ai-2021/discussion/276419#1535771
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