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arXiv research

A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.

168,878 papers · 148 categories

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2 results for “AI2THOR”
VUSFA:Variational Universal Successor Features Approximator to Improve Transfer DRL for Target Driven Visual Navigationcs.LG

VUSFA improves transfer learning for target-driven navigation in AI2THOR.

problem Improving transfer reinforcement learning for complex visual navigation tasks.
method Introducing SFDP and Variational Information Bottlenecks to A3C agent.
result VUSFA achieves state-of-the-art performance and generalizability.
transfer reinforcement learningtarget-driven navigationAI2THORUniversal Successor FeaturesVariational Information Bottlenecks
2019-08-18abs ↗pdf ↗