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Jordi Orbay

2 accepted papers

2024

Stop Regressing: Training Value Functions via Classification for Scalable Deep RL

ICML 2024oral

Value functions are an essential component in deep reinforcement learning (RL), that are typically trained via mean squared error regression to match bootstrapped target values. However, scaling value-based RL methods to large networks has proven challenging. This difficulty is in stark contrast to…

Cited by 60SourcePDFScholar
2022

Less Is More: Generating Grounded Navigation Instructions From Landmarks

CVPR 2022poster

We study the automatic generation of navigation instructions from 360-degree images captured on indoor routes. Existing generators suffer from poor visual grounding, causing them to rely on language priors and hallucinate objects. Our MARKY-MT5 system addresses this by focusing on visual landmarks;…

Cited by 61PDFcodeScholar