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MultiStepBootstrappingInRL

Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.

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/learn @Breakend/MultiStepBootstrappingInRL
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Quality Score

0/100

Supported Platforms

Universal

README

MultiStepBootstrappingInRL

Here, we compare Q(\sigma) learning presented by Sutton and Barto in [1] to Tree-Backup, n-step Expected Sarsa, and n-step Sarsa.

The main notebook file with our analysis is: VarianceAnalysisMultistepBootstrapping.ipynb

All experiments are included here that generated the graphs in the notebook.

Authors:

Peter Henderson Wei-Di Chang

View on GitHub
GitHub Stars15
CategoryEducation
Updated5mo ago
Forks1

Languages

Python

Security Score

77/100

Audited on Oct 24, 2025

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