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

Solve BipedalWalkerHardcore-v2 with TD3

AI learning to walk in gym's BipedalWalker 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

BipedalWalker & BipedalWalkerHardcore solved by SAC

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

BipedalWalker - AI teaching itself to walk

Various architecture implementations for solving BipedalWalker-v3 of GYM on PyTorch.

This is a Biped simulated on pybullet physics engine, walking

The Easiest Pytorch Implementation of Branching-DQN

ROS-based BD1 droid from Star Wars The Fallen Order

PPO pytorch tutorial for continuous control (BipedalWalker-v3)

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

Data-driven Project based on BipedalWalker-v3 of OpenAi

Setting Up and training a bipedal Walker using ppo algorithm, and pushing it to huggingface

[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

Continuous asynchronous PPO in Pytorch solving OpenAI's bipdedal walker

Bipedal Creature Walking using Neuro-evolution of Augmenting Topologies (NEAT) algorithm

Branching dueling Q-network algorithm implemented in the Keras API for the BipedalWalker environment

This is how you teach a dumb bot to walk on two feet.

Proximal Policy Optimization method in Pytorch