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Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning. https://t.co/7gRKWcpSoY
Machine Learning and Knowledge Discovery in Databases: Research Track
Springer Nature Switzerland
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Check out our latest blog post on "Unsupervised Salient Patch Selection for Data-Efficient Reinforcement Learning". We introduce SPIRL, a method to improve sample efficiency in vision-based deep RL. Learn more at: https://t.co/mkBY1L4nrL
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RT @DiceResearch: 📢For "Neural Class Expression Synthesis in ALCHIQ(D)" by @kouagou_dah, @StefanHeindorf, @_CaglarDemir & @NgongaAxel see h…
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📢For "Neural Class Expression Synthesis in ALCHIQ(D)" by @kouagou_dah, @StefanHeindorf, @_CaglarDemir & @NgongaAxel see here: https://t.co/cRW2CWu5bA