PoliFormer: Scaling On-Policy RL with Transformers Results in Masterful Navigators

Learns indoor navigation from RGB using large-scale simulated reinforcement learning. A vision encoder and causal Transformer combine perception with history for studying transfer to real robots.

Learns indoor navigation from RGB using large-scale simulated reinforcement learning. A vision encoder and causal Transformer combine perception with history for studying transfer to real robots.

When reading the original paper, identify its problem, inputs, outputs, and methodological assumptions.

Learns indoor navigation from RGB using large-scale simulated reinforcement learning. A vision encoder and causal Transformer combine perception with history for studying transfer to real robots.

Check the baselines, datasets, evaluation protocol, and ablations in the original paper. This directory overview does not provide an independent evaluation or experimental results table.