https://github.com/bkhnk48/riskaversetrajopt
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
○CITATION.cff file
-
○codemeta.json file
-
○.zenodo.json file
-
○DOI references
-
✓Academic publication links
Links to: arxiv.org -
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (3.7%) to scientific vocabulary
Last synced: 9 months ago
·
JSON representation
Repository
Basic Info
- Host: GitHub
- Owner: bkhnk48
- License: mit
- Language: Python
- Default Branch: main
- Size: 771 KB
Statistics
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
- Releases: 0
Created over 2 years ago
· Last pushed over 2 years ago
https://github.com/bkhnk48/riskaversetrajopt/blob/main/
# Risk-Averse Trajectory Optimization via Sample Average Approximation ## About Code for the work on risk-averse trajectory optimization via the sample average approximation approach (T. Lew, R. Bonalli, M. Pavone, "Risk-Averse Trajectory Optimization via Sample Average Approximation", available at [https://arxiv.org/abs/2307.03167](https://arxiv.org/abs/2307.03167), 2023).  ## Setup This code was tested with Python >= 3.6.9. All dependencies can be installed by running `` pip install -r requirements.txt `` ## Original Github: https://github.com/StanfordASL/RiskAverseTrajOpt
Owner
- Login: bkhnk48
- Kind: user
- Repositories: 3
- Profile: https://github.com/bkhnk48