zhenyu1311 / AI-Self-Navigating-Ships-Thesis-Project-UndergradLinks
This is the the partial code for my thesis. A COLREGS-compliant multiship collision avoidance based on deep reinforcement learning
☆12Updated last year
Alternatives and similar repositories for AI-Self-Navigating-Ships-Thesis-Project-Undergrad
Users that are interested in AI-Self-Navigating-Ships-Thesis-Project-Undergrad are comparing it to the libraries listed below
Sorting:
- Deep reinforcement learning (DQN) implements robot path planning☆15Updated 4 years ago
- ☆20Updated 2 years ago
- Path Planning for the Robots Using Reinforcement Learning☆38Updated 2 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- Multi agent scalable reinforcement learning for formation control with collision avoidance☆42Updated 8 months ago
- Deep reinforcement learning☆43Updated 3 years ago
- Code for G2RL to solve the multi-robot path planning problem in a fully distributed reactive manner.☆69Updated last year
- ☆81Updated 7 years ago
- ☆43Updated 3 years ago
- multi-turtlebot3 collision avoidance and navigation via DDPG-LSTM with Prioritized Experience Replay on ROS☆76Updated 2 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques.☆15Updated 3 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆13Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆102Updated 3 years ago
- 基于ppo的路径规划☆45Updated 2 years ago
- ☆53Updated 3 years ago
- A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader ag…☆50Updated 2 years ago
- ☆13Updated 4 years ago
- ☆18Updated last year
- ☆23Updated 4 years ago
- 复现一篇在网格环境中使用改进Q-learning进行路径规划的论文☆20Updated last year
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆44Updated 4 months ago
- OpenAI gym environment for collision avoidance and path following with an AUV☆32Updated 5 years ago
- Deep Reinforcement Learning (RL) algorithms for underwater target tracking with Autonomous Underwater Vehicles (AUV)☆116Updated 2 years ago
- 强化学习大作业☆21Updated last year
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆36Updated 2 years ago
- Using Q-Learning Control for path planning of mobile agents in an enviroment.☆16Updated 2 years ago
- The Reinforce Learning Environment on the multi-agent pursuit problem in a two-dimensional space. The environment depends on tensorflow, …☆9Updated last year
- Reinforcement Learning for Multi-Agent Path Finding☆33Updated 3 months ago