pypi.org : ac_solver
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
Registry
- Documentation
- JSON
purl: pkg:pypi/ac-solver
Keywords:
a2c
, actor-critic
, advantage-actor-critic
, ale
, atari
, deep-learning
, deep-reinforcement-learning
, gym
, machine-learning
, phasic-policy-gradient
, ppo
, proximal-policy-optimization
, python
, pytorch
, reinforcement-learning
, wandb
License: GPL-1.0+
Latest release: about 1 year ago
First release: about 1 year ago
Downloads: 34 last month
Stars: 6,944 on GitHub
Forks: 748 on GitHub
Total Commits: 774
Committers: 40
Average commits per author: 19.35
Development Distribution Score (DDS): 0.155
More commit stats: commits.ecosyste.ms
See more repository details: repos.ecosyste.ms
Funding links: https://github.com/sponsors/vwxyzjn, https://www.buymeacoffee.com/dosssman
Last synced: 20 days ago