Muzero VS AgileRL

Compare Muzero vs AgileRL and see what are their differences.

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Muzero AgileRL
1 12
16 494
- 2.8%
10.0 9.8
over 1 year ago 8 days ago
Python Python
GNU General Public License v3.0 only Apache License 2.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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

Posts with mentions or reviews of Muzero. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-25.

AgileRL

Posts with mentions or reviews of AgileRL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-07-07.

What are some alternatives?

When comparing Muzero and AgileRL you can also consider the following projects:

neural-network-scratch - build a neural network to show as a demonstration on inner workings of a neural network

chat-ui - Open source codebase powering the HuggingChat app

LightZero - [NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

RLeXplore - RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).

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.

loopquest - A Production Tool for Embodied AI

Note - Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, CLIP, ViT, ConvNeXt, SwiftFormer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.

de-torch - Minimal PyTorch Library for Differential Evolution

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.

q-learning-algorithms - This repository will aim to provide implementations of q-learning algorithms (DQN, Double-DQN, ...) using Pytorch.

nn-morse - Decode morse using a neural network

Open-Llama - The complete training code of the open-source high-performance Llama model, including the full process from pre-training to RLHF.