Lightweight multi-agent gridworld Gym environment

Simple grid-world environment compatible with OpenAI-gym

Accelerated minigrid environments with JAX

Gridworld environments for OpenAI gym.

Simple Grid Environment for Gymnasium

python package for fast shortest path computation on 2D polygon or grid maps

A simple Gridworld environment for Open AI gym

Value iteration, policy iteration, and Q-Learning in a grid-world MDP.

R.L. methods and techniques.

Help! I'm lost in the flatland!

A modular, extensible, entity-component-system (ECS) gridworld environment

Tabular methods for reinforcement learning

Adversarial attacks in consensus-based multi-agent reinforcement learning

Approximate Dynamic Programming assignment solution for a maze environment at ADPRL at TU Munich

Safety challenges for RL and LLM agents' ability to learn and properly apply biologically and economically aligned utility functions. The benchmarks are implemented in a gridworld-based environment. The environments are relatively simple, just as much complexity is added as is necessary to illustrate the relevant safety and performance aspects.

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

Python implementation of SR-Dyna from Russek, Momennejad et al 2017

Simple implementation of text-based Gridworld game. Intended for use with reinforcement learning algorithms.

Coding the GridWorld example from David Silver's Reinforcemnet Learning Course in Python

Webppl library for generating Gridworld MDPs. JS library for displaying Gridworld.