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.

deep-reinforcement-learning rainbow doom dqn sarsa a3c ddqn ddpg-algorithm ppo a2c prioritized-experience-replay cartpole-v0 noisy-networks soft-actor-critic half-cheetah kungfumaster-v0 ant-v2 reinforce-algorithm

• Updated Apr 24, 2021
• Jupyter Notebook

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

python machine-learning reinforcement-learning deep-learning python3 pytorch ddpg sac mujoco deep-deterministic-policy-gradient a2c continuous-action-space soft-actor-critic discrete-action-space a2c-algorithm reinforce-algorithm ant-v3 humanoid-v3 pendulum-v1

• Updated Dec 18, 2021
• TeX

Rocket Trajectory Optimization Using REINFORCE Algorithm

reinforcement-learning gym trajectory-optimization control-theory gymnasium lunar-lander pytorch-lightning reinforce-algorithm

• Updated Dec 31, 2024
• Jupyter Notebook

A from-scratch implementation of the REINFORCE policy gradient algorithm in PyTorch on CartPole-v1, featuring baseline subtraction and hyperparameter ablation experiments.

reinforcement-learning pytorch policy-gradient cartpole from-scratch gymnasium reinforce-algorithm

• Updated Jun 17, 2026
• Python

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.

python reinforcement-learning deep-learning deep-reinforcement-learning policy pytorch gym policy-gradient cart reinforce pendulum gymnasium drl cart-pole policy-optimization policy-based drl-pytorch reinforce-algorithm cart-pole-balancing cart-pole-v1

• Updated Mar 19, 2024
• Python

python reinforcement-learning deep-learning pytorch artificial-intelligence policy-gradient reinforce-algorithm

• Updated Mar 12, 2022
• Python

On-policy RL (VPG, PPO) algorithms from scratch

reinforcement-learning pytorch-rl ppo-pytorch reinforce-algorithm vpg-pytorch on-policy-learning

• Updated Jul 1, 2025
• Python

Hands-on implementations of Reinforcement Learning algorithms from scratch, progressing from classical methods to deep RL with practical experiments.

reinforcement-learning dqn td-learning monte-carlo-methods ppo advantage-actor-critic actor-critic-methods model-based-reinforcement-learning deep-qlearning-algorithm stochastic-approximation dqn-pytorch model-free-rl sarsa-algorithm q-learning-algorithm a2c-algorithm reinforce-algorithm policy-gradient-algorithm value-function-approximation

• Updated May 1, 2026
• Jupyter Notebook

reinforcement-learning genetic-algorithm lunar-lander dqn-agents ppo-agent reinforce-algorithm a2c-agent gymnasium-environment

• Updated Jul 21, 2025
• Jupyter Notebook

Policy and value analysis using gymnasium's lunar lander-v3 simulation environment

deep-reinforcement-learning sarsa-learning reinforce-algorithm

• Updated Jan 21, 2026
• Python

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.

policy-gradients reinforce-algorithm

• Updated Oct 2, 2020
• Python

Own researches in reinforcement learning using openai-gym.

reinforcement-learning deep-learning openai-gym mountain-car bipedalwalker carracing reinforce-algorithm

• Updated Jul 27, 2021
• Python