JORLDY
LightZero
| JORLDY | LightZero | |
|---|---|---|
| 1 | 3 | |
| 356 | 875 | |
| 0.0% | 4.7% | |
| 0.0 | 8.8 | |
| about 1 year ago | 6 days ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
JORLDY
-
JORLDY: OpenSource Reinforcement Learning Framework
JORLDY github link: https://github.com/kakaoenterprise/JORLDY
LightZero
What are some alternatives?
Super-mario-bros-PPO-pytorch - Proximal Policy Optimization (PPO) algorithm for Super Mario Bros
Stochastic-muzero - Pytorch Implementation of Stochastic MuZero for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
Muzero - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.
muzero-general - MuZero
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
alpha-zero-general - A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4 and more
stable-baselines3 - PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.