Michael (Misha) Laskin

verfied profile

Postdoc at Berkeley AI Research in UC Berkeley working with Pieter Abbeel. Mostly focusing on unsupervised learning and deep reinforcement learning.

Featured Co-authors

Pieter Abbeel
180 publications
Jascha Sohl-Dickstein
58 publications
Igor Mordatch
31 publications
Lerrel Pinto
29 publications
Deepak Pathak
25 publications
Aditya Grover
24 publications
Kimin Lee
24 publications
Luke Metz
20 publications
Aravind Rajeswaran
18 publications
Aravind Srinivas
14 publications
Ajay Jain
10 publications

Hierarchical Few-Shot Imitation with Skill Transition Models

A desirable property of autonomous agents is the ability to both solve l...
07/19/2021 ∙ by Kourosh Hakhamaneshi, et al. ∙ 0 ∙ share

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Behavioral Priors and Dynamics Models: Improving Performance and Domain Transfer in Offline RL

Offline Reinforcement Learning (RL) aims to extract near-optimal policie...
06/16/2021 ∙ by Catherine Cang, et al. ∙ 0 ∙ share

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Decision Transformer: Reinforcement Learning via Sequence Modeling

We present a framework that abstracts Reinforcement Learning (RL) as a s...
06/02/2021 ∙ by Lili Chen, et al. ∙ 0 ∙ share

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A Framework for Efficient Robotic Manipulation

Data-efficient learning of manipulation policies from visual observation...
12/14/2020 ∙ by Albert Zhan, et al. ∙ 8 ∙ share

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Parallel Training of Deep Networks with Local Updates

Deep learning models trained on large data sets have been widely success...
12/07/2020 ∙ by Michael (Misha) Laskin, et al. ∙ 8 ∙ share

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Decoupling Representation Learning from Reinforcement Learning

In an effort to overcome limitations of reward-driven feature learning i...
09/14/2020 ∙ by Adam Stooke, et al. ∙ 22 ∙ share

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SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Model-free deep reinforcement learning (RL) has been successful in a ran...
07/09/2020 ∙ by Kimin Lee, et al. ∙ 66 ∙ share

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Reinforcement Learning with Augmented Data

Learning from visual observations is a fundamental yet challenging probl...
04/30/2020 ∙ by Michael (Misha) Laskin, et al. ∙ 14 ∙ share

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CURL: Contrastive Unsupervised Representations for Reinforcement Learning

We present CURL: Contrastive Unsupervised Representations for Reinforcem...
04/08/2020 ∙ by Aravind Srinivas, et al. ∙ 23 ∙ share

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Sparse Graphical Memory for Robust Planning

To operate effectively in the real world, artificial agents must act fro...
03/13/2020 ∙ by Michael (Misha) Laskin, et al. ∙ 17 ∙ share

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Roof Age Determination for the Automated Site-Selection of Rooftop Solar

Rooftop solar is one of the most promising tools for drawing down greenh...
01/08/2020 ∙ by Chris Heinrich, et al. ∙ 1 ∙ share

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