IEEE

Benchmarking Model Predictive Control and Reinforcement Learning-Based Control for Legged Robot Locomotion in MuJoCo Simulation

Abstract: Model Predictive Control (MPC) and Reinforcement Learning (RL) are two prominent strategies for controlling legged robots. RL learns control policies through system interaction, adapting to ...
GitHub

Reinforcement Learning for Ballbot control in uneven terrain

This repo contains the MuJoCo-based ballbot simulation as well as the RL code from the paper Salehi, Achkan. "Reinforcement Learning for Ballbot Navigation in Uneven Terrain." arXiv preprint ...
GitHub

dummy_ros2_plugin.hpp

// void RenderCallback(const mjModel* model, mjData* data, mjvScene* scene) override; // void LastStageCallback(const mjModel* model, mjData* data) override; // void ...
IEEE

LLM-Assisted Evolutionary Strategy for MuJoCo Control

Reinforcement learning (RL) has achieved remarkable progress in intelligent decision-making, with notable applications in robotics, gaming, and autonomous control. Policygradient methods such as PPO ...