frozenlake

dmitrijsc/practical-rl

Reinforcement learning in Julia. Solving OpenAI gym.

moripiri/Reinforcement-Learning-on-FrozenLake

Reinforcement Learning Algorithms in a simple Gridworld

MehdiShahbazi/DQN-Frozenlake-Gymnasium

This repo implements Deep Q-Network (DQN) for solving the Frozenlake-v1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 in both 4x4 and 8x8 map sizes.

alvinwan/bots-for-atari-games

Bots for Atari Games using Reinforcement Learning

hjorvardr/RL_Library

An implementation of main reinforcement learning algorithms: solo-agent and ensembled versions.

antonio-f/Dynamic-Programming

Algorithms for Policy Evaluation, Estimation of Action Values, Policy Improvement, Policy Iteration, Truncated Policy Evaluation, Truncated Policy Iteration, Value Iteration . From Udacity's Deep Reinforcement Learning Nanodegree program.

MrShininnnnn/SARSA-Frozen-Lake

An implementation of a SARSA agent to learn policies in the Frozen Lake environment from OpenAI gym.

wikke/Reinforcement_Learning

Series of Reinforcement Learning: Q-Learning, Sarsa, SarsaLambda, Deep Q Learning(DQN)；一些列强化学习算法，玩OpenAI-gym游戏

FareedKhan-dev/Reinforcement-Learning-on-Frozen-Lake-v1-openAI-gym

Using the OpenAI Gym library, I implemented two reinforcement learning algorithms in the Frozen Lake environment.

zhangyifengdavid/ME5406_Course_Project

Part 1 project for ME5406 in NUS

adesgautam/Reinforcement-Learning

Reinforcement learning algorithms to solve OpenAI gym environments

ariankhanjani/Frozen-Lake-Openai-Gym

Implementation of RL Algorithms in Openai Gym Frozen-Lake Environment

MohammadAsadolahi/Reinforcement_Learning_solving_a_simple_4_4_Gridworld_using_SARSA-in-python

solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using SARSA Temporal difference method Reinforcement Learning

being-aerys/Distributed_Reinforcement_Learning_with_Intel-DevCloud

Chaoukia/Reinforcement-Learning-course

A Reinforcement Learning course with classic examples of agents trained on gym environments.

lovecicinnus/ME5406-project1

MohammadAsadolahi/Reinforcement-Learning-solving-a-simple-4-4-Gridworld-using-TD0-evaluation-method-in-python

solving a simple 4*4 Gridworld almost similar to openAI gym FrozenLake using Temporal difference method Reinforcement Learning

MohammadAsadolahi/Reinforcement-Learning-solving-a-simple-4by4-Gridworld-using-Monte-Carlo-in-python

solving a simple 4*4 Gridworld almost similar to openAI gym frozenlake using Monte-Carlo method Reinforcement Learning

ghazaleh-mahmoodi/Neural_Networks

This repository contains various networks implementation such as MLP, Hopfield, Kohonen, ART, LVQ1, Genetic algorithms, Adaboost and fuzzy-system, CNN with python.

VOCdevShy/Q-Learning_Frozen_Lake

Made with the gym package from the farama foundation, this project is an hyper detailed version of the Q-Learning reinforcement on the Frozen lake's game.

Abrarulhassan-786/FrozenLake

During my Course of Ai in kiet. I was learing reinforce learning algorithm. I have implemented Q-Learnning on Frozen Lake. Great game/ also make ppt for describe code

Bartosz-D3V/FrozenLake_v0

FrozenLake - OpenAI's exercise resolved with Q-learning algorithm

Charan619/Frozen-Lake-Runner-RL

Uses Q learning to give instructions to a skater on slippery ice(stochastic model) to reach his goal.

hallvardnmbu/reinforcement-learning

Modern applied deep learning with reinforcement methodology.

LachubCz/DQN-using-Numpy

Implementation of DQN using just Numpy (SFC project)

NiravRaiyani/Reinforcement_Learning

Contains the implementation of SARSA, Q-learning and E-SARSA on gym environment.

omaraflak/FrozenLake-QLearning

Resolving the FrozenLake problem from OpenAI Gym.

pagrim/FrozenLake

Q-learning agent to solve the frozen lake problem from the OpenAI gym

prakhargurawa/Reinforcement-Learning

Work-related to Agents, Multi-Agents and Reinforcement Learning

0x1DA9430/Q-Learning-FrozenLake-Solver

Solving Frozen Lake Problem with Q-learning

4rn3/KTA_q_learning

Project for my KTA ( IM0702-232411M) course In our project, we are tasked with learning an agent to traverse a frozen lake without falling into the water. The agent learns by trial-and-error, adjusting the actions it takes based on the rewards it received in the past.

jayanthd04/Q-learning-Frozen-Lake-and-taxi

Implementation of Q-learning Algorithm on FrozenLake and Taxi environments

m4mbo/frozenlake-ddq-learning

Double Deep Q-Learnig for the FrozenLake environment.

School-Semester-Summaries/AI-semester-6

The cooler AI semester

renan-siqueira/reinforcement-learning-frozen-lake

This project aims to explore the basic concepts of Reinforcement Learning using the FrozenLake environment from the OpenAI Gym library.