The Custom Gridworld and Environment Demo of Ship Route Planning with Reinforcement Learning. The reinforcement learning based on Qlearning method is realized. Q tables can be saved. Support documentation of training sessions. Support the display of result graphs

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

Application of Q-Learning method on Gridworld environment

This project is from one of my master's degree projects. It is about pathfinding with using Q learning. Implemented it in unity. C#

QLearning implementation reinforced by norms in a multi-agent simulation

A very simple playground to experiment RL algorithms

Implementing a reinforcement learning agent in a grid world that earns rewards and faces penalties

Creating a reinforcement learning agent that plays 5x5 Go game using Q-Learning.

This is using the UC Berkeley codebase for the PacMan AI project. This project utilizes search algorithms for artificial intelligence agents, and utilizes reinforcement learning.

A Python-based repository with implementations of RL algorithms, featuring visualization tools and benchmarks