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

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

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

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

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

Pytorch implementation of the Deep Deterministic Policy Gradients for Continuous Control

Programmatically Interpretable Reinforcement Learning

This is a Biped simulated on pybullet physics engine, walking

ROS-based BD1 droid from Star Wars The Fallen Order

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

[MATLAB] Various Passive Dynamic Walking Robot Simulation Code!

Curiosity-driven PPO agent for BipedalWalker-v3 with Intrinsic Curiosity Module (ICM) for improved exploration in continuous control environments.

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

Proximal Policy Optimization method in Pytorch

Neural network and Reinforcement learning algorithms for the Bipedal Walker problem

Solved BipedalWalker-v3 and BipedalWalkerHardcore-v3 using Soft Actor-Critic (SAC) with reproducible 100-seed evaluation.