Search Results for author: Jane. X. Wang

Found 7 papers, 2 papers with code

Amortized learning of neural causal representations

no code implementations21 Aug 2020 Nan Rosemary Ke, Jane. X. Wang, Jovana Mitrovic, Martin Szummer, Danilo J. Rezende

The CRN represent causal models using continuous representations and hence could scale much better with the number of variables.

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

1 code implementation ICML 2018 Samuel Ritter, Jane. X. Wang, Zeb Kurth-Nelson, Siddhant M. Jayakumar, Charles Blundell, Razvan Pascanu, Matthew Botvinick

Meta-learning agents excel at rapidly learning new tasks from open-ended task distributions; yet, they forget what they learn about each task as soon as the next begins.

Meta-Learning

Learning to reinforcement learn

7 code implementations17 Nov 2016 Jane. X. Wang, Zeb Kurth-Nelson, Dhruva Tirumala, Hubert Soyer, Joel Z. Leibo, Remi Munos, Charles Blundell, Dharshan Kumaran, Matt Botvinick

We unpack these points in a series of seven proof-of-concept experiments, each of which examines a key aspect of deep meta-RL.

Meta-Learning Meta Reinforcement Learning +1

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