Project Name	Stars	Most Recent Commit	Total Releases	Latest Release	Open Issues	License	Language
Pogema	136	3 months ago	56	September 22, 2023	1	mit	Python
POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.
Griduniverse	12	5 years ago			2	other	Python
Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem
3d Pathfinding Visualizer	11	2 years ago					JavaScript
This is a three dimensional pathfinding algorithm visualizer project.
Qlearningmaze	8	6 years ago					Python
Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy
Pogema Baselines	8	a year ago					Python
PPO and PyMARL baseline for Pogema environment
Purl	7	5 years ago				mit	Python
Pathfinding Using Reinforcement Learning
When To Switch	6	3 months ago				mit	Python
"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️

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Pogema ⭐ 136

POGEMA stands for Partially-Observable Grid Environment for Multiple Agents. This is a grid-based environment that was specifically designed to be flexible, tunable and scalable. It can be tailored to a variety of PO-MAPF settings.

total releases 56most recent commit 3 months ago

Griduniverse ⭐ 12

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

most recent commit 5 years ago

3d Pathfinding Visualizer ⭐ 11

This is a three dimensional pathfinding algorithm visualizer project.

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Qlearningmaze ⭐ 8

Implementation of Q-Learning using TD error to navigate a maze avoiding obstacles and a moving enemy

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Pogema Baselines ⭐ 8

PPO and PyMARL baseline for Pogema environment

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Purl ⭐ 7

Pathfinding Using Reinforcement Learning

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When To Switch ⭐ 6

"When to Switch" Implementation: Addressing the PO-MAPF challenge with RePlan & EPOM policies. This repo includes search-based re-planning, reinforcement learning techniques, and three mixed policies for pathfinding in partially observable multi-agent environments. 🤖🛤️

most recent commit 3 months ago

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Qlearningmaze vs Pogema

Qlearningmaze vs Griduniverse

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Qlearningmaze vs Pogema Baselines

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Qlearningmaze vs When To Switch

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