cheryyunl/Make-An-Agent

Contents of datasets. 'param': All the parameters in the policy network as a flattened vector. 'traj': prior trajectories in first 60 steps, as 's_0, a_0, a_1, a_2, s_3, a_3, a_4, a_5'. 'task': the success three states 's_m, s_{m+1}, s_{m+2}' If you want to train with your dataset or task, you can privately design the trajectory dimensions and encode them to the same dimension (for example we used 128). You can use our pretrained model with the same behavior dimensions to finetune on your… See the full description on the dataset page: https://huggingface.co/datasets/cheryyunl/Make-An-Agent.

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