epignatelli/navix

Accelerated minigrid environments with JAX

Language: Python - Size: 892 KB - Last synced: about 13 hours ago - Pushed: 1 day ago - Stars: 28 - Forks: 2

Farama-Foundation/Minigrid

Simple and easily configurable grid world environments for reinforcement learning

Language: Python - Size: 14.1 MB - Last synced: about 1 month ago - Pushed: about 2 months ago - Stars: 2,009 - Forks: 585

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: 10 days ago - Pushed: 10 days ago - Stars: 1 - 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: 15 days ago - Pushed: 15 days ago - Stars: 0 - Forks: 0

damat-le/gym-simplegrid

Simple Gridworld Gymnasium Environment

Language: Python - Size: 729 KB - Last synced: 15 days ago - Pushed: 16 days ago - Stars: 36 - Forks: 9

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: about 2 months ago - Pushed: about 2 months ago - Stars: 0 - Forks: 0

ArnaudFickinger/gym-multigrid

Lightweight multi-agent gridworld Gym environment

Language: Python - Size: 430 KB - Last synced: about 2 months ago - Pushed: 9 months ago - Stars: 180 - Forks: 37

damat-le/mage

Multi-Agent Grid Environment (MAGE)

Language: Python - Size: 229 KB - Last synced: 12 days ago - Pushed: 10 months ago - Stars: 2 - Forks: 0

goodai-jose-solorzano/FlatWorld

A gridworld-like gym environment for Reinforcement Learning research.

Language: Python - Size: 223 KB - Last synced: 23 days ago - Pushed: 4 months ago - Stars: 2 - Forks: 0

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

Extended, multi-agent and multi-objective 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: 1.26 MB - Last synced: 5 months ago - Pushed: 6 months ago - Stars: 6 - Forks: 0

JuliaReinforcementLearning/GridWorlds.jl

Help! I'm lost in the flatland!

Language: Julia - Size: 34.7 MB - Last synced: 1 day ago - Pushed: 12 months ago - Stars: 45 - Forks: 9

zafarali/emdp

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

Language: Python - Size: 82 KB - Last synced: about 2 months ago - Pushed: about 2 years ago - Stars: 47 - Forks: 14

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: 5 months ago - Pushed: 5 months ago - Stars: 0 - Forks: 0

addy1997/Gridworld 📦

OpenAI gym-based algorithm for the grid world problem

Language: Python - Size: 332 KB - Last synced: 8 months ago - Pushed: over 3 years ago - Stars: 28 - Forks: 4

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: 8 months ago - Pushed: 8 months ago - Stars: 1 - Forks: 0

zaid-24/The-RL-Agent

path planning using Q learning algorithm

Language: Python - Size: 34.2 KB - Last synced: 8 months ago - Pushed: 8 months ago - Stars: 7 - Forks: 1

rvdweerd/RL-experiments

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

Language: Python - Size: 476 KB - Last synced: 9 months ago - Pushed: over 2 years ago - Stars: 0 - Forks: 1

e-wallace/RL

SARSA and Q-Learning in Grid World

Language: Python - Size: 9.77 KB - Last synced: 9 months ago - Pushed: over 3 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: 10 months ago - Pushed: over 5 years ago - Stars: 1 - 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: 5 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0

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: 9 months ago - Pushed: almost 2 years ago - Stars: 5 - Forks: 1

TheMTank/GridUniverse

Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

Language: Python - Size: 15.4 MB - Last synced: 8 months ago - Pushed: over 5 years ago - Stars: 20 - Forks: 5

imraviagrawal/Reinforcement-Learning-Implementation

Implementation of Reinforcement Algorithms from scratch

Language: Python - Size: 23.1 MB - Last synced: 11 months ago - Pushed: over 5 years ago - Stars: 9 - Forks: 3

bmazoure/pixel_world

Language: Python - Size: 108 KB - Last synced: 12 months ago - Pushed: almost 5 years ago - Stars: 4 - Forks: 1

yrevar/navigation_vis

Python3 library for visualizing high dimensional data.

Language: Jupyter Notebook - Size: 23.2 MB - Last synced: 10 days ago - Pushed: about 2 years ago - Stars: 4 - Forks: 0

khaledabdrabo98/qlearning

In this project, we aim to implement value iteration and Q-learning. First, the agents are tested on a Gridworld, then apply them to a simulated robot controller (Crawler) and Pacman. (Source : Berkley's public projects and labs)

Language: Python - Size: 314 KB - Last synced: about 2 months ago - Pushed: about 1 year ago - Stars: 0 - 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: 12 days ago - Pushed: about 1 year ago - Stars: 0 - Forks: 0

jeappen/gym-grid 📦

A simple Gridworld environment for Open AI gym

Language: Python - Size: 79.1 KB - Last synced: over 1 year ago - Pushed: about 6 years ago - Stars: 23 - Forks: 12

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: over 1 year ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

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: 6 months ago - Pushed: about 2 years ago - Stars: 6 - Forks: 2

till2/GridworldEnv

An educational environment for learning RL.

Language: Python - Size: 1.96 MB - Last synced: over 1 year ago - Pushed: almost 2 years ago - Stars: 0 - Forks: 0

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: about 1 year ago - Pushed: over 6 years ago - Stars: 5 - Forks: 3

DamienAllonsius/RL_options

Language: Python - Size: 1.62 MB - Last synced: over 1 year ago - Pushed: about 5 years ago - Stars: 3 - Forks: 1

yrevar/navigation_mdp

Python3 library for specifying MDP tailored for navigation applications.

Language: Jupyter Notebook - Size: 1.6 MB - Last synced: 2 days ago - Pushed: 4 months ago - Stars: 0 - 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: 5 months ago - Pushed: over 2 years ago - Stars: 2 - Forks: 1

sintefneodroid/Examples

Example Implementations of Reinforcement Learning Environments using Neodroid

Language: C# - Size: 275 MB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 5 - Forks: 3

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: 11 months ago - Pushed: about 3 years ago - Stars: 0 - Forks: 1

gxywy/gridworld

Simple gridworld environment for tabular reinforcement learning experiment

Language: Python - Size: 82 KB - Last synced: about 1 year ago - Pushed: almost 4 years ago - Stars: 2 - Forks: 2

Twinkletanna/Reinforcement_Learning

Implementation of RL algorithms in various environments

Language: Python - Size: 19.5 KB - Last synced: over 1 year ago - Pushed: over 5 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: over 1 year ago - Pushed: over 5 years ago - Stars: 0 - Forks: 0