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How Does an Approximate Model Help in Reinforcement Learning?

How Does an Approximate Model Help in Reinforcement Learning?

Fei Feng
W. Yin
Lin F. Yang
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Papers citing "How Does an Approximate Model Help in Reinforcement Learning?"

3 / 3 papers shown
Title
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Near-Optimal Sample Complexity Bounds for Constrained MDPs
Sharan Vaswani
Lin F. Yang
Csaba Szepesvári
40
32
0
13 Jun 2022
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Model-Based Multi-Agent RL in Zero-Sum Markov Games with Near-Optimal Sample Complexity
Kai Zhang
Sham Kakade
Tamer Bacsar
Lin F. Yang
52
120
0
15 Jul 2020
Learning Task Grouping and Overlap in Multi-task Learning
Learning Task Grouping and Overlap in Multi-task Learning
Abhishek Kumar
Hal Daumé
184
526
0
27 Jun 2012