Muzero
Note
| Muzero | Note | |
|---|---|---|
| 1 | 48 | |
| 16 | 35 | |
| - | - | |
| 10.0 | 9.9 | |
| over 1 year ago | 3 days ago | |
| Python | Python | |
| GNU General Public License v3.0 only | 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.
Muzero
Note
- Easily implement parallel training.
- This project allows you to easily implement parallel training with the multiprocessing module.
-
Train neural networks in parallel using Python's multiprocessing module.
https://github.com/NoteDancing/Note This project allows you to train neural network in parallel using Python's multiprocessing module.
- A system for deep learning and reinforcement learning.
- A system for deep learning and reinforcement learning. (r/MachineLearning)
- [P] A system for deep learning and reinforcement learning.
What are some alternatives?
neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network
deep-RL-trading - playing idealized trading games with deep reinforcement learning
LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios
deep-significance - Enabling easy statistical significance testing for deep neural networks.
Muzero-unplugged - Pytorch Implementation of MuZero Unplugged for gym environment. This algorithm is capable of supporting a wide range of action and observation spaces, including both discrete and continuous variations.
softlearning - Softlearning is a reinforcement learning framework for training maximum entropy policies in continuous domains. Includes the official implementation of the Soft Actor-Critic algorithm.
AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
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.
muzero-general - MuZero
nn-morse - Decode morse using a neural network
cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)