sidharthmohannair / Autonomous-Drone-Navigation-TD3-vs-SACLinks
Comparative Study of Proximal Policy Optimization (PPO) and Soft Actor-Critic (SAC) for Autonomous Drone Navigation using ROS and Gazebo. This project explores the performance of these algorithms in complex environments, focusing on navigation efficiency, obstacle avoidance, and learning efficiency.
☆11Updated last year
Alternatives and similar repositories for Autonomous-Drone-Navigation-TD3-vs-SAC
Users that are interested in Autonomous-Drone-Navigation-TD3-vs-SAC are comparing it to the libraries listed below
Sorting:
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using DRL (SAC, TD3) neural networks, a robot learns to…☆183Updated last year
- 在turtlebot3,pytorch上使用DQN,DDPG,PPO,SAC算法,在gazebo上实现仿真。Use DQN, DDPG, PPO, SAC algorithm on turtlebot3, pytorch on turtlebot3, pytorch, an…☆128Updated 2 years ago
- Model Predictive Control with discrete-time Control Barrier Functions (MPC-CBF) for a wheeled mobile robot.☆183Updated 3 years ago
- ☆19Updated 2 years ago
- Rishikesh-Jadhav / Reinforcement-Learning-for-Autonomous-Navigation-using-Deep-Q-Network-and-Twin-Delayed-DDPGThis repository hosts the implementation of autonomous vehicle navigation using RL techniques, with a specific emphasis on Deep Q-Network…☆50Updated last year
- [RA-Letter 2022] Reinforcement Learned Distributed Multi-Robot Navigation with Reciprocal Velocity Obstacle Shaped Rewards☆281Updated 9 months ago
- DRL_Navigation_Robot_ROS2_Foxy☆39Updated 2 years ago
- "Safety-Critical Model Predictive Control with Discrete-Time Control Barrier Function" by J. Zeng, B. Zhang and K. Sreenath https://arxiv…☆311Updated 4 years ago
- Robot navigation using deep reinforcement learning☆70Updated 3 years ago
- Matlab Interface for Control Barrier Function (CBF) and Control Lyapunov Function (CLF) based control methods.☆352Updated last year
- [T-RO 2023] DRL-VO: Learning to Navigate Through Crowded Dynamic Scenes Using Velocity Obstacles☆273Updated 4 months ago
- [T-ITS'23] Sim-to-real goal-oriented mapless autonomous navigation (DRL navigation).☆166Updated last year
- Deep Reinforcement Learning Based Mobile Robot Navigation Using ROS2 and Gazebo☆47Updated 8 months ago
- End to end motion planner using Deep Deterministic Policy Gradient (DDPG) in gazebo☆236Updated 3 years ago
- An open source repository for control, planning and navigation about control barrier functions.☆211Updated last year
- A goal-driven autonomous exploration through deep reinforcement learning (ICRA 2022) system that combines reactive and planned robot navi…☆188Updated 4 years ago
- Implementation of Q-learning algorithm and Feedback control for the mobile robot (turtlebot3_burger) in ROS.☆123Updated 11 months ago
- This repository is an implementation of the work from Mohamed W. Mehrez. I convert the original code in MATLAB to the Python☆171Updated 10 months ago
- A Reinforcement Learning Friendly Simulator for Mobile Robot☆25Updated 9 months ago
- RL based robust controller for quadrotor.☆41Updated 3 years ago
- Using LiDAR sensory data as Input for Mapless Robot Navigation using Deep Reinforcement Learning☆49Updated this week
- A ROS2-based framework for TurtleBot3 DRL autonomous navigation☆305Updated 9 months ago
- 深蓝运动规划课程☆46Updated 4 years ago
- ☆45Updated 9 months ago
- Mapless Collision Avoidance of Turtlebot3 Mobile Robot Using DDPG and Prioritized Experience Replay☆125Updated 2 years ago
- Deep Reinforcement Learning for mobile robot navigation in ROS2 Gazebo simulator. Using Twin Delayed Deep Deterministic Policy Gradient (…☆48Updated 2 years ago
- The code will soon be open source.☆282Updated 2 years ago
- Deep Reinforcement Learning Based Crowd Navigation with Perceived Risk of the Moving Crowd for Mobile Robots☆86Updated 2 years ago
- Autonomous Exploration of mobile robots in unknown environments using Deep Reinforcement learning☆13Updated 2 years ago
- A ROS package of a autonomous navigation method based on SAC and Bidirectional RRT* (Repository RL-RRT-Global-Planner).☆60Updated 3 years ago