Jun 16, 2022 · In this work, we present a new benchmark -- a flexible environment which allows for the evaluation of existing techniques under variable causal overhypotheses.
Recent work in machine learning and cognitive science has suggested that understanding causal information is essential to the development of intelligence.
Feb 1, 2023 · We present a new flexible environment which allows for the evaluation of existing techniques under variable causal overhypotheses.
Recent work in machine learning and cognitive science has suggested that under- standing causal information is essential to the development of intelligence.
Jun 16, 2022 · One of the key challenges for current machine learning algorithms is modeling and understanding causal overhypotheses: transferable abstract ...
Recent work in machine learning and cognitive science has suggested that understanding causal information is essential to the development of intelligence. The ...
Jun 17, 2022 · Towards Understanding How Machines Can Learn Causal Overhypotheses. Recent work in machine learning and cognitive science has suggested that ...
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Human children are proficient explorers, using causal information to great benefit. In contrast, typical AI agents do not consider underlying causal ...
Explore all code implementations available for Towards Understanding How Machines Can Learn Causal Overhypotheses.
Towards Understanding How Machines Can Learn Causal Overhypotheses · What can AI Learn from Human Exploration? · Boosting Efficiency in Task-Agnostic Exploration ...