Showing 3 of 3 projects
A research framework for fast prototyping of reinforcement learning algorithms, designed for easy experimentation and reproducibility.
A deep reinforcement learning library offering high-quality, single-file implementations of algorithms like PPO, DQN, and SAC for research and education.
A curated collection of Monte Carlo tree search research papers with implementations from top AI conferences.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.