Web: http://arxiv.org/abs/2206.11733

June 24, 2022, 1:10 a.m. | Lina Mezghani, Sainbayar Sukhbaatar, Piotr Bojanowski, Karteek Alahari

cs.LG updates on arXiv.org arxiv.org

Learning a diverse set of skills by interacting with an environment without
any external supervision is an important challenge. In particular, obtaining a
goal-conditioned agent that can reach any given state is useful in many
applications. We propose a novel method for training such a goal-conditioned
agent without any external rewards or any domain knowledge. We use random walk
to train a reachability network that predicts the similarity between two
states. This reachability network is then used in building goal …

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