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Josiah P. Hanna

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A Simple Baseline for Learning Approximate State Abstractions in Factored State Spaces

This work introduces a surprisingly simple neural network architecture change: a learnable, state-independent attention mask applied to the inputs of the policy and value networks and trained end-to-end using only the RL objective.

Anshuman Senapati, Josiah P. Hanna · 0 citations