BYOL-Explore: Exploration by Bootstrapped Prediction. (arXiv:2206.08332v1 [cs.LG])

Web: http://arxiv.org/abs/2206.08332

We present BYOL-Explore, a conceptually simple yet general approach for
curiosity-driven exploration in visually-complex environments. BYOL-Explore
learns a world representation, the world dynamics, and an exploration policy
all-together by optimizing a single prediction loss in the latent space with no
additional auxiliary objective. We show that BYOL-Explore is effective in
DM-HARD-8, a challenging partially-observable continuous-action
hard-exploration benchmark with visually-rich 3-D environments. On this
benchmark, we solve the majority of the tasks purely through augmenting the
extrinsic reward with BYOL-Explore s …

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