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Sidhant Kaushik
Publication Activity (10 Years)
Years Active: 2020-2021
Publications (10 Years): 4
Top Topics
Credit Assignment
Fuzzy Logic
Reinforcement Learning
Decentralized Decision Making
Top Venues
CoRR
ICML
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Publications
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Michael Chang
,
Sidhant Kaushik
,
Sergey Levine
,
Tom Griffiths
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment.
ICML
(2021)
Michael Chang
,
Sidhant Kaushik
,
Sergey Levine
,
Thomas L. Griffiths
Modularity in Reinforcement Learning via Algorithmic Independence in Credit Assignment.
CoRR
(2021)
Michael Chang
,
Sidhant Kaushik
,
S. Matthew Weinberg
,
Tom Griffiths
,
Sergey Levine
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions.
ICML
(2020)
Michael Chang
,
Sidhant Kaushik
,
S. Matthew Weinberg
,
Thomas L. Griffiths
,
Sergey Levine
Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions.
CoRR
(2020)