Michael Laskin
7 papers · 2020–2023 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(16)
🐣
Hot Topic Early Bird
Venues
Top co-authors
Research topics
Keywords
reinforcement learning
(4)
contrastive learning
(3)
representation learning
(2)
deep reinforcement learning
(2)
off-policy learning
(2)
preference learning
(1)
in-context learning
(1)
exploration-exploitation tradeoff
(1)
mutual information
(1)
skill discovery
(1)
off-policy reinforcement learning
(1)
human feedback
(1)
generative model
(1)
upper confidence bound
(1)
ensemble method
(1)
inverse dynamics model
(1)
uncertainty estimation
(1)
intrinsic reward
(1)
unsupervised reinforcement learning
(1)
causal transformer
(1)
Papers
In-context Reinforcement Learning with Algorithm Distillation
ICLR 2023
Hierarchical Few-Shot Imitation with Skill Transition Models
ICLR 2022
Unsupervised Reinforcement Learning with Contrastive Intrinsic Control
NeurIPS 2022
Decoupling Representation Learning from Reinforcement Learning
ICML 2021
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
CoRL 2021
SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning
ICML 2021
CURL: Contrastive Unsupervised Representations for Reinforcement Learning
ICML 2020