luanshaotong / LESSON

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Learning Subgoal Representations with Slow Dynamics

We propose a slowness objective to effectively learn the subgoal representation for goal-conditioned hierarchical reinforcement learning. Our paper is accepted by ICLR 2021.

The python dependencies are as follows.

Run the codes with python The tensorboard files are saved in the runs folder and the trained models are saved in the saved_models folder.

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Language:Python 100.0%