MarWaltz / TUD_RLLinks
RL Dresden Algorithm Suite
☆30Updated 10 months ago
Alternatives and similar repositories for TUD_RL
Users that are interested in TUD_RL are comparing it to the libraries listed below
Sorting:
- 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
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆36Updated 2 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆64Updated 2 years ago
- Adaptive Informative Path Planning Using Deep Reinforcement Learning for UAV-based Active Sensing☆107Updated 2 years ago
- POMG algorithm for large-scale pursuit game with partial observation and no communication.☆21Updated 3 months ago
- Multi-Agent Reinforcement Learning (MARL) method to learn scalable control polices for multi-agent target tracking.☆35Updated last year
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆20Updated 2 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
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆97Updated 3 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆19Updated 6 years ago
- This is an implementation of the paper Cooperative and Distributed Reinforcement Learning of Drones for Field Coverage by Huy Xuan Pham, …☆20Updated 4 years ago
- ☆17Updated last year
- 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
- ☆23Updated 4 years ago
- -A framework for path-planing and obstacle avoidance using Deep Reinforcement Learning Techniques☆32Updated 4 years ago
- Pytorch implementations of the multi-agent reinforcement learning algorithms, including QMIX, VDN, COMA, MADDPG, MATD3, FACMAC and MASoft…☆38Updated 2 months ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆13Updated 2 years ago
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆51Updated 6 years ago
- An OpenAIGym-based framework allowing to test Delay-Aware Deep Reinforcement Learning algorithms for cooperative multi-UAV systems in ful…☆42Updated 9 months ago
- This is a MADDPG algorithm to be used on particle environment styles. I use it to test my own scenarios for underwater target localizatio…☆14Updated 3 years ago
- Hierarchical and Stable Multiagent Reinforcement Learning for Cooperative Navigation Control☆12Updated 3 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆25Updated last year
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆37Updated 4 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
- An OpenaAIGym-based framework allowing to test hybrid approaches (RL + path planning) for multi-UAV systems that are supposed to provide …☆104Updated last year
- This is a work on using meta-reinforcement learning to achieve autonomous target tracking and obstacle avoidance for UAVs☆42Updated 9 months ago
- Reinforcement Learning for quadrotor trajectory planning and control☆55Updated last year
- Multi Agent SAC and DDPG applied to path finding in a 3-dimensional grid☆12Updated 3 years ago
- UAVGym是一个用python编写的GYM风格的无人机仿真环境,用于强化学习算法的研究。☆57Updated last year
- Jax and Torch Multi-Agent SAC on PettingZoo API☆82Updated 6 months ago