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

Solving OpenAI Gym problems.

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

In this all Projects dealing with reinforcement learning wil be uploaded

A simple baseline for mountain-car @ gym

Implementation of Reinforcement Algorithms from scratch

solution to mountain car problem of OpenAI Gym

👾 My solutions to OpenAI Gym Reinforcement Learning problems.

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

This repo implements Deep Q-Network (DQN) for solving the Mountain Car v0 environment (discrete version) of the Gymnasium library using Python 3.8 and PyTorch 2.0.1 with a custom reward function for faster convergence.

Reinforcement learning algorithms to solve OpenAI gym environments

Inverse Reinforcement Learning Algorithm implementation with Python

Implementing reinforcement learning algorithms using TensorFlow and Keras in OpenAI Gym

Deep RL toy example based on gym package with several methods

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.

Comparing VPG, TRPO and PPO from Policy Gradient family

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

This repo is for playing with reinforcement learning algorithms. I am either using openai gym or ViZDoom as an environment.

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

solve let do irl