reiniscimurs/TD3_Separate_Action

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2
Language
Python
Created about 4 years ago
Updated almost 3 years ago

reiniscimurs/TD3_Separate_Action

reiniscimurs

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Twin-Delayed Deep Deterministic Policy Gradient network for HalfCheetahBulletEnv-v0 environment

DRL-robot-navigation

Deep Reinforcement Learning for mobile robot navigation in ROS Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (TD3) neural network, a robot learns to navigate to a random goal point in a simulated environment while avoiding obstacles.

GDAE

A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navigation in unknown environments

Bezier-Curve

Python class for creating and optimizing quadratic and cubic Bezier curves and path smoothing implementation.

image-to-ROSmap

Python code for turning a .png image in a ROS map

VGG-MNIST-style-transfer

VGG based calligraphy style transfer for handwritten numbers from MNIST dataset

SWEEP

SWEEP - Structure and Wall Extraction from Evacuation Plan. An openCV-based python code for extracting structured obstacles and walls from a given image. The obstacles are used to create a ROS map of the environment.