sparisi / cbet Goto Github PK

Hi,

I think I meet a problem that my results of intrinsic reward is about 0.0014 after training of 4e7 frames and I just follow the instruction of github without changing any parameters, the environments I use is MiniGrid-KeyCorridorS3R3-v0,MiniGrid-MultiRoom-N4-S5-v0,MiniGrid-UnlockPickup-v0, which are mentioned in the paper as pre-training of many-to-many transfer. Therefore, I don't know whether there are something I missed. Hoping you can help me. Thx a lot.

One of my favorite components of the C-BET paper was the proposed paradigm shift from tabula-rasa exploration for each task to a system where new environments are explored with the context carried over from a pretrained model. I've found that a practical starting point for similar procedures on other large models (e.g., BERTs, ResNets) is to obtain a copy of the pre-trained model. I'd love to start working with C-BET as well!

I'm very curious as to where I might be able to find the C-BET parameters from your paper. Looking forward to experimenting with this!