There are 1 repository under mujoco-py topic.
This repository contains model-free deep reinforcement learning algorithms implemented in Pytorch
Simple renderer for use with MuJoCo (>=2.1.2) Python Bindings.
This repository contains the implementation for the paper - Exploration via Hierarchical Meta Reinforcement Learning.
Iterative LQG for a couple of MuJoCo models
Multi-rotor Gym
Simple-to-use-and-extend implementation of the DeepMimic Approach using the MuJoCo Physics Engine and Stable Baselines 3, mainly for locomotion tasks.
Model-based Policy Gradients
The code corresponding to the paper "Improving Sample Efficiency of Deep Reinforcement Learning for Bipedal Walking".
Manipulation Demo using mujoco-py
Sparse environment for MuJoCo suite (v2 and v3)
Turn STL formulas into maps and planed paths, control robots with DRL controllers.
Implementation of Multiplicative Compositional Policies (MCP)
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Code from "How useful is quantilization for mitigating specification-gaming?"
Reinforcement Learning CS6700 Course Capstone Project
A simulation environment and reinforcement learning framework for training robotic arm manipulation skills using MuJoCo physics, OpenAI Gymnasium, and Stable Baselines 3.
This repository contains the scripts and results of running HER+DDPG experiments on the shadow dexterous hand.
Installation MuJoCo on Ubuntu 16.04 with NVIDIA GPU
The Docker image for the isolated Mujoco environment
Simple renderer for use with MuJoCo (2.2.x) Python Bindings, on M1 Mac.
Training robots to play soccer
A foldable robotics project inspired by basilisk lizard locomotion, featuring four-bar mechanism design, MuJoCo simulations, and adaptive movement optimization.
This repository compares real-life oscillation data from Tracker with MuJoCo simulations to estimate and identify the stiffness and damping characteristics of a cardstock material.
Python tools for robotics, deep reinforcement learning and neuroscience research.