Web: https://www.reddit.com/r/MachineLearning/comments/s410dw/d_how_is_the_mdp_homomorphism_approach_in_the/

Jan. 14, 2022, 7:53 p.m. | /u/www3cam

Machine Learning reddit.com

I'm reading: Plannable Approximations to MDP Homomorphisms: Equivariance under Actions (arxiv: https://arxiv.org/pdf/2002.11963.pdf) and I'm not understanding how this approach differs from RL training in embedding space, for example, CURL. I do understand that they seem to be training both in the base space and the embedding space, but I'm not sure what this buys them. Thanks for your help!

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embedding for machinelearning rl space

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