DRL-robot-navigation VS Dstar-lite-pathplanner

Compare DRL-robot-navigation vs Dstar-lite-pathplanner and see what are their differences.

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. (by reiniscimurs)
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DRL-robot-navigation Dstar-lite-pathplanner
1 1
440 129
- -
2.1 2.7
9 months ago 5 months ago
Python Python
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

DRL-robot-navigation

Posts with mentions or reviews of DRL-robot-navigation. We have used some of these posts to build our list of alternatives and similar projects.

Dstar-lite-pathplanner

Posts with mentions or reviews of Dstar-lite-pathplanner. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-11.

What are some alternatives?

When comparing DRL-robot-navigation and Dstar-lite-pathplanner you can also consider the following projects:

rlalgorithms-tf2 - Packaged deep reinforcement learning algorithms in tensorflow 2.x

AStar - High performance A* pathfinding in C#

drl_grasping - Deep Reinforcement Learning for Robotic Grasping from Octrees

Fast_RRT-ROS - RRT-ROS implementation.

cleanrl - High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)

rospy - ROS communications-related packages, including core client libraries (roscpp, rospy, roslisp) and graph introspection tools (rostopic, rosnode, rosservice, rosparam).

machin - Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA ...

PathPlanning - Common used path planning algorithms with animations.

pytorch-a2c-ppo-acktr-gail - PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

python-graphslam - Graph SLAM solver in Python

webots_ros2 - Webots ROS 2 packages

Maze-PathFinder-Visualization-Python - 2D maze path solver visualizer implemented with python