SkinnerWorld is a reinforcement learning gridworld project completed for a Reinforcement Learning graduate course.

Program solves an MDP using value iteration

GridWorld Environment

An openAI gym environment for the classic gridworld scenario.

Markov Decision Process (value iteration) and Reinforcement Learning (Q-learning) presented in Grid World.

My grid world project (Swen 711)

python package for fast shortest path computation on 2D grid or polygon maps

Reinforcement Learning Using Q-learning, Double Q-learning, and Dyna-Q.

Code for turning the FrozenLake env into its deterministic version

Classic Reinforcement Learning implementations for custom Gridworld environment.

A gridworld-like gym environment for Reinforcement Learning research.

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

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

CSCI 561 - USC

My first reinforcement learning model, designed to navigate through randomly positioned obstacles to reach a target.

A simple implementation of the gridworld example using the Q-learning algorithm

This is an implementation of n-step SARSA and a gridworld to be solved by it.

Simple gridworld environment for tabular reinforcement learning experiment

R.L. methods and techniques.