Lightweight multi-agent gridworld Gym environment

Simple grid-world environment compatible with OpenAI-gym

Gridworld environments for OpenAI gym.

Accelerated minigrid environments with JAX

Simple Grid Environment for Gymnasium

A simple Gridworld environment for Open AI gym

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

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

R.L. methods and techniques.

Help! I'm lost in the flatland!

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

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

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

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

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.

Safety challenges for AI agents' ability to learn and act in desired ways in relation to biologically and economically relevant aspects. 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.