BY571 / IQN-and-Extensions

PyTorch Implementation of Implicit Quantile Networks (IQN) for Distributional Reinforcement Learning with additional extensions like PER, Noisy layer, N-step bootstrapping, Dueling architecture and parallel env support.

Date Created 2020-08-12 (4 years ago)

Commits 37 (last one 3 years ago)

Stargazers 78 (0 this week)

Watchers 4 (0 this week)

Forks 16

License mit

Ranking

RepositoryStats indexes 565,600 repositories, of these BY571/IQN-and-Extensions is ranked #335,180 (41st percentile) for total stargazers, and #366,616 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #8,263/16,305.

BY571/IQN-and-Extensions is also tagged with popular topics, for these it's ranked: pytorch (#3,901/5824), reinforcement-learning (#803/1260)

Other Information

BY571/IQN-and-Extensions has 1 open pull request on Github, 1 pull request has been merged over the lifetime of the repository.

Github issues are enabled, there are 2 open issues and 4 closed issues.

All Topics

dqn iqn pytorch rainbow munchausen noisy-layer distributional-r multi-environment parallel-computing parallel-processing n-step-bootstrapping pytorch-implementation reinforcement-learning implicit-quantile-networks prioritized-experience-replay reinforcement-learning-algorithms

Star History

Github stargazers over time

Watcher History

Github watchers over time, collection started in '23

Recent Commit History

0 commits on the default branch (master) since jan '22

No recent commits to this repository

Yearly Commits

Commits to the default branch (master) per year

Issue History

Languages

The primary language is Jupyter Notebook but there's also others...

updated: 2024-09-21 @ 11:18pm, id: 287046687 / R_kgDOERv8Hw