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03/07/2023
Structured State Space Models for In-Context Reinforcement Learning
Structured state space sequence (S4) models have recently achieved state...
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01/18/2023
Human-Timescale Adaptation in an Open-Ended Task Space
Foundation models have shown impressive adaptation and scalability in su...
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09/09/2021
Bootstrapped Meta-Learning
Meta-learning empowers artificial intelligence to increase its efficienc...
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02/15/2020
Universal Value Density Estimation for Imitation Learning and Goal-Conditioned Reinforcement Learning
This work considers two distinct settings: imitation learning and goal-c...
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07/01/2019
Active Learning within Constrained Environments through Imitation of an Expert Questioner
Active learning agents typically employ a query selection algorithm whic...
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04/01/2019
Generative predecessor models for sample-efficient imitation learning
We propose Generative Predecessor Models for Imitation Learning (GPRIL),...
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05/24/2017