32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.

Reinforcement learning tutorials

Solving OpenAI Gym problems.

Twin Delayed DDPG (TD3) PyTorch solution for Roboschool and Box2d environment

A PLEN2 Robot learns to walk using Twin-Delayed Deep Deterministic Policy Gradient in Gazebo and PyBullet with a custom OpenAI Gym interface

Usage of genetic algorithms to train a neural network in multiple OpenAI gym environments.

Solving openAI's game 'BipedalWalker-v2' with Deep Reinforcement Learning

Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

Utilizes Q-learning, DQN, and TD3 reinforcement learning algorithms to teach BipedalWalker to walk

Reinforcement Learning Scripts

This is a Biped simulated on pybullet physics engine, walking

Proximal Policy Optimization method in Pytorch

ROS-based BD1 droid from Star Wars The Fallen Order

An ESP32 + Python controlled biped robot powered by servo motors.

Programmatically Interpretable Reinforcement Learning

Own researches in reinforcement learning using openai-gym.

In this project I create agent for the BipedalWalker environment using the Proximal Policy Optimization (PPO) algorithm from the stablebaselines3 library. The agent is trained to navigate the BipedalWalker environment, which is a simulated robot with two legs.

Neural network and Reinforcement learning algorithms for the Bipedal Walker problem

PyTorch application of reinforcement learning Advanced Policy Gradient algorithms in OpenAI BipedalWalker- PPO