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05/25/2023
Passive learning of active causal strategies in agents and language models
What can be learned about causality and experimentation from passive dat...
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10/11/2022
Transformers generalize differently from information stored in context vs in weights
Transformer models can use two fundamentally different kinds of informat...
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07/14/2022
Language models show human-like content effects on reasoning
Abstract reasoning is a key ability for an intelligent system. Large lan...
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04/08/2022
Semantic Exploration from Language Abstractions and Pretrained Representations
Continuous first-person 3D environments pose unique exploration challeng...
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04/05/2022
Can language models learn from explanations in context?
Large language models can perform new tasks by adapting to a few in-cont...
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03/15/2022
Zipfian environments for Reinforcement Learning
As humans and animals learn in the natural world, they encounter distrib...
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12/07/2021
Tell me why! – Explanations support learning of relational and causal structure
Explanations play a considerable role in human learning, especially in a...
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05/28/2021
Towards mental time travel: a hierarchical memory for reinforcement learning agents
Reinforcement learning agents often forget details of the past, especial...
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12/10/2019