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TOWARDS GENERAL FUNCTION APPROXIMATION IN ZERO-SUM MARKOV GAMES
Baihe Huang
, Jason D. Lee
, Zhaoran Wang
, Zhuoran Yang
Electrical and Computer Engineering
Center for Statistics & Machine Learning
Princeton Language and Intelligence (PLI)
Research output
:
Contribution to conference
›
Paper
›
peer-review
16
Scopus citations
Overview
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Dive into the research topics of 'TOWARDS GENERAL FUNCTION APPROXIMATION IN ZERO-SUM MARKOV GAMES'. Together they form a unique fingerprint.
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Mathematics
Upper Bound
100%
Minimax
100%
Function Value
100%
Finite Sum
100%
Approximation Function
100%
Computer Science
Function Value
100%
Efficient Algorithm
100%
Linear Feature
100%
Function Approximation
100%
Keyphrases
Zero-sum Markov Game
100%
Single Play
33%