#

grid-world

Here are 50 public repositories matching this topic...

rlcode / reinforcement-learning-kr

[파이썬과 케라스로 배우는 강화학습] 예제

openai-gym dqn grid-world policy-gradient actor-critic

Updated Oct 28, 2020
Python

JuliaReinforcementLearning / GridWorlds.jl

Help! I'm lost in the flatland!

reinforcement-learning julia grid-world gridworld hacktoberfest gridworld-environment makie

Updated Jun 25, 2023
Julia

ducandu / RL-Implementation-IMPALA

A Test-Implementation of the IMPALA algorithm (by deepmind 2018)

machine-learning reinforcement-learning impala grid-world policy-gradient reinforcement-learning-algorithms deepmind-lab

Updated Mar 16, 2018
Python

rishitsaiya / CS312-AI-Lab

Artificial Intelligence Lab Course (CS 312), IIT Dharwad

reinforcement-learning svm dfs grid-world bfs hill-climbing alpha-beta-pruning tsp tabu-search k-sat

Updated Oct 14, 2022
C

demo-q-learning

qihongl / demo-q-learning

Q learning with neural network based function approximators.

neural-network q-learning pytorch grid-world

Updated Apr 16, 2019
Python

prasenjit52282 / GridWorld

Gridworld environment creator for testing RL algorithms

q-learning grid-world reinforcement-learning-environments custom-environments

Updated Jul 19, 2024
Python

sintefneodroid / Examples

Example Implementations of Reinforcement Learning Environments using Neodroid

agent learning fun world grid reinforcement-learning ml grid-world rl gridworld hacktoberfest gridworld-environment

Updated Dec 8, 2022
C#

nkrgit / Fleet-Scheduling-using-MADDPG-Multi-Agent-RL

Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.

q-learning grid-world fleet-management keras-tensorflow openai-gym-environments maddpg

Updated Feb 12, 2023
Jupyter Notebook

prajwalsouza / QLearning

Some Experiments with QLearning

reinforcement-learning qlearning grid-world obstacle-avoidance qlearning-algorithm q-ball

Updated Jul 7, 2018
HTML

reubenwong97 / NFSP-PEG-GridWorld

Implementation of Neural Fictitious Self-Play for a GridWorld based Multi-Agent Pursuit Evasion Game

reinforcement-learning multi-agent grid-world

Updated Aug 31, 2020
Jupyter Notebook

chlaudiah / Reinforcement-Learning

An Implementation of Reinforcement Learning for Data Learning in Grid World

python reinforcement-learning jupyter-notebook grid-world

Updated Jan 27, 2019
HTML

elhamza9 / Grid-World-Reinforcement-Learning-ReactJS

Visual implementation of Reinforcement Learning Algorithms to solve the Grid World Game (React JS)

reinforcement-learning reactjs grid-world dynamic-programming

Updated Nov 2, 2018
JavaScript

Shaz-5 / IRL

This repository contains implementations of Inverse Reinforcement Learning (IRL) algorithms based on the paper "Algorithms for Inverse Reinforcement Learning" - (Ng &Russell 2000)

reinforcement-learning q-learning grid-world mountain-car inverse-reinforcement-learning

Updated Mar 7, 2024
Jupyter Notebook

jia-yi-chen / Bandit-and-Reinforcement-Learning

Python implementation for Reinforcement Learning algorithms -- Bandit algorithms, MDP, Dynamic Programming (value/policy iteration), Model-free Control (off-policy Monte Carlo, Q-learning)

reinforcement-learning monte-carlo q-learning grid-world dynamic-programming markov-decision-processes multi-armed-bandit bandit-algorithms

Updated Oct 2, 2021
Python

Yashwanthv21 / Reinforcement-Learning

Reinforcement Learning

python reinforcement-learning q-learning artificial-intelligence tkinter grid-world

Updated Jan 21, 2018
Python

lkwbr / grid-qlearn

See a program learn the best actions in a grid-world to get to the target cell, and even run through the grid in real-time! This is a Q-Learning implementation for 2-D grid world using both epsilon-greedy and Boltzmann exploration policies.

python machine-learning reinforcement-learning grid-world epsilon-greedy boltzmann-exploration

Updated Feb 4, 2023
Python

akjayant / Coding_Reinforcement_Learning

Implementation of basic RL steps and algorithms - Dynamic Programming approach, Monte-Carlo approach, DQN on Atari, Policy Gradient - Reinforce with baseline, Actor Critic (A2C)

reinforcement-learning algorithms pong blackjack-game dqn grid-world policy-gradient monte-carlo-simulation atari policy-evaluation policy-iteration monte-carlo-methods rl-steps

Updated Aug 31, 2021
Jupyter Notebook

LijunSun90 / MatrixWorld

MatrixWorld: A pursuit-evasion platform for safe multi-agent coordination and autocurricula

grid-world large-scale safety-critical adversarial-learning pursuit-evasion multi-agent-path-finding co-evolution collision-resolution arms-race multi-agent-environment autocurricula safe-multiagent-reinforcement-learning

Updated Jun 5, 2024
Python

BeadyRing_DRL

houssameehsain / BeadyRing_DRL

Modeling of urban form based on the 'Beady Ring' model (Hillier & Hanson, 1984) using deep reinforcement learning.

reinforcement-learning cellular-automata deep-reinforcement-learning grid-world generative-design urban-modelling urban-simulation

Updated Apr 5, 2022
Python

mshuqair / Reinforcement-Learning-Grid-World

Implementation of some Reinforcement Learning methods for grid world in Python

python reinforcement-learning monte-carlo q-learning grid-world temporal-differencing-learning

Updated Sep 12, 2024
Python

Improve this page

Add a description, image, and links to the grid-world topic page so that developers can more easily learn about it.

Curate this topic

Add this topic to your repo

To associate your repository with the grid-world topic, visit your repo's landing page and select "manage topics."