Python code, PDFs and resources for the series of posts on Reinforcement Learning which I published on my personal blog

Solving OpenAI Gym problems.

Reinforcement Learning algorithms SARSA, Q-Learning, DQN, for Classical and MuJoCo Environments and testing them with OpenAI Gym.

solution to mountain car problem of OpenAI Gym

👾 My solutions to OpenAI Gym Reinforcement Learning problems.

Solutions and figures for problems from Reinforcement Learning: An Introduction Sutton&Barto

Implementation of Reinforcement Algorithms from scratch

Code for some fun exercises in the textbook 'Reinforcement Learning - An Introduction'

Reinforcement learning algorithms to solve OpenAI gym environments

A simple baseline for mountain-car @ gym

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

Inverse Reinforcement Learning Algorithm implementation with Python

A car is on a one-dimensional track, positioned between two "mountains". The goal is to drive up the mountain on the right; however, the car's engine is not strong enough to scale the mountain in a single pass. Therefore, the only way to succeed is to drive back and forth to build up momentum.

In this all Projects dealing with reinforcement learning wil be uploaded

Code for the Genetic Algorithms for Mapping Evolution (GAME), a project done at Johns Hopkins University during Fall 2022.

Deep Reinforcement learning applied on open AI MountainCar environment

An implementation of the paper "Reinforcement learning with a bilinear Q function" on the Mountain Car problem.

Reinforcement learning algorithm implementation for "Artificial Intelligence" course project, La Sapienza, Rome, Italy, 2018