Baby-Action-Detection-for-Safety-System-Prototype VS Muzero-unplugged

Compare Baby-Action-Detection-for-Safety-System-Prototype vs Muzero-unplugged and see what are their differences.

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. (by DHDev0)
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Baby-Action-Detection-for-Safety-System-Prototype Muzero-unplugged
1 3
30 20
- -
0.0 10.0
over 2 years ago over 1 year ago
Python Python
- GNU General Public License v3.0 only
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Baby-Action-Detection-for-Safety-System-Prototype

Posts with mentions or reviews of Baby-Action-Detection-for-Safety-System-Prototype. We have used some of these posts to build our list of alternatives and similar projects.

Muzero-unplugged

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

What are some alternatives?

When comparing Baby-Action-Detection-for-Safety-System-Prototype and Muzero-unplugged you can also consider the following projects:

Kornia - Geometric Computer Vision Library for Spatial AI

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 - Pytorch Implementation of MuZero for gym environment. It support any Discrete , Box and Box2D configuration for the action space and observation space.

pytorch-A3C - Simple A3C implementation with pytorch + multiprocessing

nn-morse - Decode morse using a neural network

ghidra-tlcs900h - Ghidra processor module for Toshiba TLCS-900/H

retro - Retro Games in Gym

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

ghidra-plays-mario - Playing NES ROMs with Ghidra's PCode Emulator

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

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

DeepBeerInventory-RL - The code for the SRDQN algorithm to train an agent for the beer game problem