This Repository contains a series of google colab notebooks which I created to help people dive into deep reinforcement learning.This notebooks contain both theory and implementation of different algorithms.

Implementing Deep Reinforcement Learning Algorithms in Python for use in the MuJoCo Physics Simulator

Rocket Trajectory Optimization Using REINFORCE Algorithm

Bot averaging >60 apples on a 10x10 map with 2 apples on the map at a time

This repo implements the REINFORCE algorithm for solving the Cart Pole V1 environment of the Gymnasium library using Python 3.8 and PyTorch 2.0.1.

The objective of this project is to develop an autonomous agent to perform well in the first person shooting games using various reinforcement learning techniques.

Own researches in reinforcement learning using openai-gym.