AINeutralarXiv – CS AI · Apr 106/10
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One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration
Researchers introduce OneLife, a framework for learning symbolic world models from minimal unguided exploration in complex, stochastic environments. The approach uses conditionally-activated programmatic laws within a probabilistic framework and demonstrates superior performance on 16 of 23 test scenarios, advancing autonomous construction of world models for unknown environments.