Jane X Wang | DeepAI

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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...

0 Andrew Kyle Lampinen, et al. ∙

∙ 05/22/2023

Meta-in-context learning in large language models

Large language models have shown tremendous performance in a variety of ...

0 Julian Coda-Forno, et al. ∙

∙ 04/12/2023

Meta-Learned Models of Cognition

Meta-learning is a framework for learning learning algorithms through re...

0 Marcel Binz, et al. ∙

∙ 04/08/2022

Semantic Exploration from Language Abstractions and Pretrained Representations

Continuous first-person 3D environments pose unique exploration challeng...

0 Allison C. Tam, et al. ∙

∙ 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...

2 Andrew K. Lampinen, et al. ∙

∙ 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...

12 Andrew K. Lampinen, et al. ∙

∙ 02/04/2021

Alchemy: A structured task distribution for meta-reinforcement learning

There has been rapidly growing interest in meta-learning as a method for...

18 Jane X Wang, et al. ∙

∙ 11/26/2020

Meta-learning in natural and artificial intelligence

Meta-learning, or learning to learn, has gained renewed interest in rece...

0 Jane X Wang, et al. ∙

∙ 08/21/2020

Amortized learning of neural causal representations

Causal models can compactly and efficiently encode the data-generating p...

5 Nan Rosemary Ke, et al. ∙

∙ 07/07/2020

Deep Reinforcement Learning and its Neuroscientific Implications

The emergence of powerful artificial intelligence is defining new resear...

0 Matthew Botvinick, et al. ∙

∙ 05/08/2019

Meta-learning of Sequential Strategies

In this report we review memory-based meta-learning as a tool for buildi...

16 Pedro A. Ortega, et al. ∙

∙ 11/14/2018

Evolving intrinsic motivations for altruistic behavior

Multi-agent cooperation is an important feature of the natural world. Ma...

0 Jane X Wang, et al. ∙

∙ 05/24/2018

Been There, Done That: Meta-Learning with Episodic Recall

Meta-learning agents excel at rapidly learning new tasks from open-ended...

0 Samuel Ritter, et al. ∙

∙ 11/17/2016

Learning to reinforcement learn

In recent years deep reinforcement learning (RL) systems have attained s...

0 Jane X Wang, et al. ∙

∙ 02/03/2014

A high-reproducibility and high-accuracy method for automated topic classification

Much of human knowledge sits in large databases of unstructured text. Le...

0 Andrea Lancichinetti, et al. ∙

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