DeepBeerInventory-RL VS Muzero

Compare DeepBeerInventory-RL vs Muzero and see what are their differences.

DeepBeerInventory-RL

The code for the SRDQN algorithm to train an agent for the beer game problem (by OptMLGroup)
deep-reinforcement-learning inventory-management beer-game supply-chain-management rl Data Science Machine Learning inventory-control inventory-optimization reinforcement-learning Paper
Source Code
beergameai.github.io
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Muzero

Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space. (by DHDev0)
Arxiv arxiv-papers Deep Learning deep-reinforcement-learning Machine Learning monte-carlo-tree-search muzero neural-network Python3 Pytorch reinforcement-learning resnetv1 resnetv2 rl Gym gym-environments Lstm Transformer
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DeepBeerInventory-RL Muzero
1 1
72 16
- -
0.0 10.0
about 1 year ago over 1 year ago
Python Python
BSD 3-clause "New" or "Revised" License GNU General Public License v3.0 only
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DeepBeerInventory-RL

Posts with mentions or reviews of DeepBeerInventory-RL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-09.

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.

What are some alternatives?

When comparing DeepBeerInventory-RL and Muzero you can also consider the following projects:

neptune-contrib - This library is a location of the LegacyLogger for PyTorch Lightning.

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

or-gym - Environments for OR and RL Research

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

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.

abce - Agent-based computational Economics, the Python library that makes AB modelling easier

AgileRL - Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

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

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.

nn-morse - Decode morse using a neural network

DeepCubeA - Code for DeepCubeA, a Deep Reinforcement Learning algorithm that can learn to solve the Rubik's cube.

DeepBeerInventory-RL vs neptune-contrib Muzero vs neural-network-scratch DeepBeerInventory-RL vs or-gym Muzero vs LightZero DeepBeerInventory-RL vs Muzero-unplugged Muzero vs Muzero-unplugged DeepBeerInventory-RL vs abce Muzero vs AgileRL Muzero vs Note Muzero vs Stochastic-muzero Muzero vs nn-morse Muzero vs DeepCubeA