Farama-Foundation/Minigrid

Simple and easily configurable grid world environments for reinforcement learning

Language: Python - Size: 16.5 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 2,230 - Forks: 623

ArnaudFickinger/gym-multigrid

Lightweight multi-agent gridworld Gym environment

Language: Python - Size: 430 KB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 37

epignatelli/navix

Accelerated minigrid environments with JAX

Language: Python - Size: 4.53 MB - Last synced at: 21 days ago - Pushed at: 9 months ago - Stars: 133 - Forks: 17

damat-le/gym-simplegrid

Simple Grid Environment for Gymnasium

Language: Python - Size: 739 KB - Last synced at: 21 days ago - Pushed at: 3 months ago - Stars: 54 - Forks: 12

zafarali/emdp

Easy MDPs and grid worlds with accessible transition dynamics to do exact calculations

Language: Python - Size: 82 KB - Last synced at: about 1 month ago - Pushed at: about 3 years ago - Stars: 49 - Forks: 14

JuliaReinforcementLearning/GridWorlds.jl

Help! I'm lost in the flatland!

Language: Julia - Size: 34.7 MB - Last synced at: 4 days ago - Pushed at: almost 2 years ago - Stars: 47 - Forks: 9

10-OASIS-01/minrl

MinRL provides clean, minimal implementations of fundamental reinforcement learning algorithms in a customizable GridWorld environment. The project focuses on educational clarity and implementation simplicity while maintaining production-quality code standards.

Language: Python - Size: 442 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 35 - Forks: 3

addy1997/Gridworld 📦

OpenAI gym-based algorithm for the grid world problem

Language: Python - Size: 332 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 28 - Forks: 4

jeappen/gym-grid 📦

A simple Gridworld environment for Open AI gym

Language: Python - Size: 79.1 KB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 23 - Forks: 12

TheMTank/GridUniverse

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

Language: Python - Size: 15.4 MB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 20 - Forks: 5

mbodenham/gridworld-value-iteration

Using value iteration to find the optimum policy in a grid world environment.

Language: Python - Size: 3.91 KB - Last synced at: 8 months ago - Pushed at: about 5 years ago - Stars: 11 - Forks: 4

levitation-opensource/ai-safety-gridworlds Fork of google-deepmind/ai-safety-gridworlds

Extended, multi-agent and multi-objective (MaMoRL / MoMaRL) environments based on DeepMind's AI Safety Gridworlds. This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents. It is made compatible with OpenAI's Gym/Gymnasium and Farama Foundation PettingZoo.

Language: Python - Size: 2.19 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 10 - Forks: 2

imraviagrawal/Reinforcement-Learning-Implementation

Implementation of Reinforcement Algorithms from scratch

Language: Python - Size: 23.1 MB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 9 - Forks: 3

zaid-24/The-RL-Agent

path planning using Q learning algorithm

Language: Python - Size: 34.2 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 7 - Forks: 1

rafelps/gym-simple-minigrid Fork of Farama-Foundation/Minigrid

Simple Minimalistic Gridworld Environment for OpenAI Gym (Simple-MiniGrid)

Language: Python - Size: 108 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 6 - Forks: 2

LinghengMeng/4_Room_World_Environment

This repository provides a simulation of 4-Room-World environment.

Language: Python - Size: 4.89 MB - Last synced at: 7 months ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 3

sintefneodroid/Examples

Example Implementations of Reinforcement Learning Environments using Neodroid

Language: C# - Size: 275 MB - Last synced at: 21 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 3

abdalla1912mohamed/Deep_reinforcement_learning_Bachelor_project

Deep Reinforcement Learning navigation of autonomous vehicles. Implementation of deep-Q learning, dyna-Q learning, Q-learning agents including SSMR(Skid-steering_mobile robot) Kinematics in various OpenAi gym environments

Language: Python - Size: 8.58 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

magnusja/irl-imitation Fork of yrlu/irl-imitation

Implementations of model-based Inverse Reinforcement Learning (IRL) algorithms in python/Tensorflow. Deep MaxEnt, MaxEnt, LPIRL

Language: Python - Size: 23.2 MB - Last synced at: about 2 years ago - Pushed at: over 7 years ago - Stars: 5 - Forks: 3

RPegoud/Temporal-Difference-learning

Implementation of Temporal Difference Learning algorithms, experiment featured in Towards Data Science

Language: Jupyter Notebook - Size: 24.2 MB - Last synced at: about 2 months ago - Pushed at: 2 months ago - Stars: 4 - Forks: 1

yrevar/navigation_vis

Python3 library for visualizing high dimensional data.

Language: Jupyter Notebook - Size: 23.2 MB - Last synced at: 21 days ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

bmazoure/pixel_world

Language: Python - Size: 108 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 1

DamienAllonsius/RL_options

Language: Python - Size: 1.62 MB - Last synced at: about 2 years ago - Pushed at: about 6 years ago - Stars: 3 - Forks: 1

damat-le/mage

Multi-Agent Grid Environment (MAGE)

Language: Python - Size: 229 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

zarahz/MARL-and-Markets

Compare the effect of a neutral market for RL Agents to trade shares or buy actions with/from others in different compositions.

Language: Jupyter Notebook - Size: 153 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1

gxywy/gridworld

Simple gridworld environment for tabular reinforcement learning experiment

Language: Python - Size: 82 KB - Last synced at: 4 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 2

yasirbarlas/tabular-deep-reinforcement-learning

We investigate the (deep) Q-learning algorithm on different environments and measure the performance of our agents.

Language: Jupyter Notebook - Size: 3.21 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0

goodai-jose-solorzano/FlatWorld

A gridworld-like gym environment for Reinforcement Learning research.

Language: Python - Size: 223 KB - Last synced at: 11 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

fork123aniket/Deep-Recurrent-Q-Networks

Implementation of Deep Recurrent Q-Networks for Partially Observable environment setting in Tensorflow

Language: Python - Size: 400 KB - Last synced at: 26 days ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

MilowB/DonatelloPyzza

A simple and educational game where you can develop the behavior of a turtle to move in a maze.

Language: Python - Size: 2.84 MB - Last synced at: 9 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

danielakuinchtner/cp-mdp

A CANDECOMP-PARAFAC tensor decomposition method to solve a Markov Decision Process (MDP) gridworld problem.

Language: Python - Size: 463 KB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

e-wallace/RL

SARSA and Q-Learning in Grid World

Language: Python - Size: 9.77 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

evgenii-nikishin/det-frozen-lake

Code for turning the FrozenLake env into its deterministic version

Language: Python - Size: 3.91 KB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

Samahussien7/Bellman

Language: Jupyter Notebook - Size: 17.6 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

KaranAnchan/MDP_Optimal_Grid_Sim

Explore the Gridworld Simulation 🌍🚀! An agent navigates a 5x5 grid to maximize rewards, using the Value Iteration algorithm 🔄. Visualizations 📊 show optimal paths and value convergence. Dive into dynamic programming and decision-making! 🤖🧠

Language: Python - Size: 254 KB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

Daksh2060/gridworld-reinforcement-learning

This project implements Value Iteration and Q-Learning algorithms to solve a variety of gridworld mazes and puzzles. It provides pre-defined policies that can be customized by adjusting parameters and policy optimization through iterative reinforcement learning. It also brings exploration capabilities to the agent with Epsilon Greedy Q-Learning.

Language: Python - Size: 935 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

yrevar/navigation_mdp

Python3 library for specifying MDP tailored for navigation applications.

Language: Jupyter Notebook - Size: 1.6 MB - Last synced at: 14 days ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

YAGI0423/direction_environment

「1차원으로 구성된 Grid World 환경 구현」에 대한 내용을 다루고 있습니다.

Language: Jupyter Notebook - Size: 8.79 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

khaled-abdrabo/qlearning

This project focuses on implementing value iteration and Q-learning algorithms. We first test these agents in a Gridworld environment, then apply them to control a simulated robot (Crawler) and to the Pacman game. (Source: Berkeley's public projects and labs)

Language: Python - Size: 314 KB - Last synced at: 5 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

till2/GridworldEnv

An educational environment for learning RL.

Language: Python - Size: 1.96 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

rvdweerd/RL-experiments

Reinforcement Learning experiments, comparing performance of Q-learning and Double Q-learning algorithms.

Language: Python - Size: 476 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

AnsSUN/Reinf.-Learn.-gridworld-project

Creation of grid world environment through pygame package and optimizing the motion of agent through modified q-learning process. Video can be found here: https://www.youtube.com/watch?v=-nXH8k9gRLM

Language: Python - Size: 8.89 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 1

Twinkletanna/Reinforcement_Learning

Implementation of RL algorithms in various environments

Language: Python - Size: 19.5 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

SravanKumar35/Gridworld

It is a java code which gives optimal policy for grid world problem in Artificial Intelligence.

Language: Java - Size: 1.95 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0