Popular GitHub Repositories for Bipedal

two wheel legged robot for IsaacLab - reinforcement learning

Repository for Planar Bipedal walking robot in Gazebo environment using Deep Deterministic Policy Gradient(DDPG) using TensorFlow.

Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.

The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".

clear single-file JAX implementations of common RL algorithms

Trains an agent with Twin Delayed Deep Deterministic Policy Gradient (TD3) to solve the Bipedal Walker challenge from OpenAI

A bipedal humanoid control system using a Physics-Informed Neural Network (PINN) and Reinforcement Learning (RL) for stability and manipulation tasks. Integrated with ROS for real-time control and FPGA for hardware acceleration, it offers advanced robotic control, ideal for research, education, and practical applications in dynamic environments.

This repository contains an implementation of stable bipedal locomotion control for humanoid robots using the Soft Actor-Critic (SAC) algorithm, simulated within the MuJoCo physics engine and trained using Gymnasium and Stable Baselines 3.

Q-Learning, Actor-Critics, Proximal-Policy Optimization reinforcement learning algorithms in bipedal walker-v2 environment

his repository contains an implementation of the Proximal Policy Optimization (PPO) algorithm to solve the BipedalWalker-v3 environment from the Gymnasium library. This project uses a combination of policy and value networks to learn a policy for controlling a bipedal walker.

Imitation learning approach for generating natural and robust bipedal locomotion using phase manifolds

a little bit of everything i learned this past summer. i wanted to give my raspberry pi a body and a personality. i used machine learning to to allow his experiences grow, grove sensors so that its aware, servos for the body. mine calls himself albert/rook he learns new words and how to uses them as you conversate and mood and perspective are based on how it experiences the environment. the goal is for everybody to have a bipedal robot that learns based on their own individual experiences.

PPO for Bipedal Walker