saaries / Maze_DQN_reinforcement_learningLinks
Use deep Q network to solve maze problem generated randomly, i.e. find the shortest path in a maze
☆8Updated 2 years ago
Alternatives and similar repositories for Maze_DQN_reinforcement_learning
Users that are interested in Maze_DQN_reinforcement_learning are comparing it to the libraries listed below
Sorting:
- MBaranPeker / Pursuit-Evasion-Game-with-Deep-Reinforcement-Learning-in-an-environment-with-an-obstacleIn this study, a multi agent chase-escape problem using Deep Q learning. Actors of the problem are smart evader and smart pursuers with o…☆23Updated last year
- 通过python3.6编程,利用DQN算法实现机器学习避开障碍走到迷宫终点。(Through python3.6 programming, I use DQN algorithm to achieve machine learning and avoid obstacles…☆10Updated 7 years ago
- The source code is the entry for 2022 EUROCONTROL Air Transport Innovation Network Innovation Masterclass. The reinforcement learning mod…☆15Updated 3 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆12Updated 3 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆36Updated 2 years ago
- Multi-agent Reinforcement Learning Algorithms(COMA, VDN, QMIX)☆15Updated 5 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆37Updated 4 years ago
- Deep Q Network for Multi-agent RL☆15Updated 4 years ago
- 车杆倒立摆DQN简单实现☆14Updated last year
- Deep reinforcement learning (DQN) implements robot path planning☆15Updated 4 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆97Updated 3 years ago
- This is a reinforcement learning algorithm library. The code takes into account both performance and simplicity, with little dependence.☆100Updated 2 years ago
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆20Updated 2 years ago
- Deep reinforcement learning☆43Updated 3 years ago
- This is the the partial code for my thesis. A COLREGS-compliant multiship collision avoidance based on deep reinforcement learning☆12Updated last year
- ☆23Updated 4 years ago
- Project on multi agent reinforcement learning applied on patrolling agents☆39Updated 5 years ago
- Transplant a implementation of MADDPG to the environment provided by openAI (multiagent-particle-envs).☆19Updated 7 years ago
- 无人机动态覆盖控制;1. 实现了一个无人机点覆盖环境;2. 给出了无人机连通保持规则;3. 给出了基于MARL的控制算法☆49Updated 9 months ago
- ☆42Updated 3 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- 用DDPG/MADDPG/DQN/MADDPG+advantage实验 OpenAI开源的MPE环境☆24Updated 6 years ago
- 路径规划强化学习☆50Updated 4 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆35Updated 2 years ago
- Python implementation of DDQN multi-UAV data harvesting