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Jerkmate
https://openresearch-repository.anu.edu.au/items/d22882bb-f1c0-4965-ade1-ea4dcfb03f02
Universal knowledge-seeking agents for stochastic environments
We define an optimal Bayesian knowledge-seeking agent, KL-KSA, designed for countable hypothesis classes of stochastic environments and whose goal is to gather...
stochastic environmentsuniversalknowledgeseekingagents
https://waymo.com/research/hierarchical-imitation-learning-for-stochastic-environments/
Hierarchical Imitation Learning for Stochastic Environments
Many applications of imitation learning require the agent to generate the full distribution of behaviour observed in the training data. For example, to...
imitation learningstochastic environmentshierarchical
https://j-min.io/publication/onelife_iclr2026/
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided...
Mar 27, 2026 - OneLife learns symbolic programmatic world models from a single episode of unguided exploration in stochastic environments
one lifeworld modelsstochastic environmentslearninferring