sichkar-valentyn / Reinforcement_Learning_in_Python

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Date Created 2018-04-26 (6 years ago)

Commits 196 (last one 3 years ago)

Stargazers 416 (1 this week)

Watchers 7 (0 this week)

Forks 111

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RepositoryStats indexes 589,134 repositories, of these sichkar-valentyn/Reinforcement_Learning_in_Python is ranked #104,300 (82nd percentile) for total stargazers, and #270,214 for total watchers. Github reports the primary language for this repository as Python, for repositories using this language it is ranked #17,462/117,584.

sichkar-valentyn/Reinforcement_Learning_in_Python is also tagged with popular topics, for these it's ranked: reinforcement-learning (#328/1319), path-planning (#15/114)

Other Information

sichkar-valentyn/Reinforcement_Learning_in_Python has 1 open pull request on Github, 21 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 3 open issues and 2 closed issues.

There have been 6 releases, the latest one was published on 2018-10-25 (6 years ago) with the name Reinforcement Learning in Python.

Homepage URL: https://sichkar-valentyn.github.io/Reinforcement_Learning_in_Python

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updated: 2024-11-30 @ 01:04am, id: 131179151 / R_kgDOB9Gijw