AINeutralarXiv – CS AI · 10h ago6/10
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ASPECT:Analogical Semantic Policy Execution via Language Conditioned Transfer
Researchers introduce ASPECT, a novel reinforcement learning framework that uses large language models as semantic operators to enable zero-shot transfer learning across novel tasks. By conditioning a text-based VAE on LLM-generated task descriptions, the approach allows agents to reuse policies on structurally similar but previously unseen tasks without discrete category constraints.