You're currently viewing an old version of this dataset. To see the current version, click here.

Policy Optimization for Stochastic Shortest Path

Policy optimization for stochastic shortest path (SSP) problem, a goal-oriented reinforcement learning model that strictly generalizes the finite-horizon model and better captures many applications.

Data and Resources

This dataset has no data

Cite this as

Liyu Chen, Haipeng Luo, Aviv Rosenberg (2024). Dataset: Policy Optimization for Stochastic Shortest Path. https://doi.org/10.57702/tsssfkfz

Private DOI This DOI is not yet resolvable.
It is available for use in manuscripts, and will be published when the Dataset is made public.

Additional Info

Field Value
Created December 16, 2024
Last update December 16, 2024
Defined In https://doi.org/10.48550/arXiv.2202.03334
Author Liyu Chen
More Authors
Haipeng Luo
Aviv Rosenberg
Homepage https://arxiv.org/abs/2112.09859