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03/15/2023
PLEX: Making the Most of the Available Data for Robotic Manipulation Pretraining
A rich representation is key to general robotic manipulation, but existi...
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02/15/2022
Safe Reinforcement Learning by Imagining the Near Future
Safe reinforcement learning is a promising path toward applying reinforc...
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06/16/2020
Model-based Adversarial Meta-Reinforcement Learning
Meta-reinforcement learning (meta-RL) aims to learn from multiple traini...
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05/27/2020
MOPO: Model-based Offline Policy Optimization
Offline reinforcement learning (RL) refers to the problem of learning po...
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07/11/2019
A Model-based Approach for Sample-efficient Multi-task Reinforcement Learning
The aim of multi-task reinforcement learning is two-fold: (1) efficientl...
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03/20/2018
Learning Robotic Assembly from CAD
In this work, motivated by recent manufacturing trends, we investigate a...
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09/28/2016
Learning from the Hindsight Plan -- Episodic MPC Improvement
Model predictive control (MPC) is a popular control method that has prov...
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02/09/2016
