byxmpy / A-Reinforcement-Learning-powered-Dynamic-Routing-with-Risk-ConsiderationLinks
A dual-objective dynamic perception path planning method based on deep reinforcement learning is proposed, which perceives crime risk and path distance and generates dynamic optimal route recommendations.
☆17Updated last year
Alternatives and similar repositories for A-Reinforcement-Learning-powered-Dynamic-Routing-with-Risk-Consideration
Users that are interested in A-Reinforcement-Learning-powered-Dynamic-Routing-with-Risk-Consideration are comparing it to the libraries listed below
Sorting:
- A Reinforcement Learning Approach for Optimizing Multiple Traveling Salesman Problems over Graphs☆38Updated 5 years ago
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆49Updated 3 years ago
- Reinplemtation of paper "A reinforcement learning approach for optimizing multiple traveling salesman problems over graphs"☆71Updated 4 years ago
- Multi-Robot Pathfinding with GNNs. Project for ML with graphs @ VU Amsterdam☆26Updated 2 months ago
- Graph Reinforcement Learning approach for Multi-Robot Task Allocation.☆38Updated 2 years ago
- A reinforcement learing environment for robotic mobile fulfilment system (RMFS)☆29Updated 2 years ago
- A Deep Reinforcement Learning Approach for Solving the Traveling Salesman Problem with Drone☆64Updated 3 years ago
- multi traveling salesman problem with ant colony optimization☆45Updated last year
- 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☆68Updated 4 months ago
- An Gym based enviroment to evaluate Multi Uav Task Alocation Algorithm☆13Updated last year
- Dynamic decentralized task allocation algorithms for multi-agent systems using auctions and machine learning☆80Updated 5 years ago
- Multi-agent RL algorithms are applied to large-scale cooperative target searching mission☆42Updated 2 years ago
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆38Updated 4 years ago
- ☆22Updated 2 years ago
- ☆31Updated last year
- Multi-UAVs Task Allocation☆92Updated last year
- Contains python code of an NSGA-II based solver with multiple genetic operator choices for the multiple travelling salesman problem with …☆26Updated 3 years ago
- [EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.☆32Updated last year
- Multi-agent Task Allocation (WAFR2022)☆28Updated 4 years ago
- Official implementation of paper "Learning to Solve Multiple-TSP with Time Window and Rejections via Deep Reinforcement Learning"☆46Updated 3 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆108Updated 4 years ago
- ☆12Updated 3 years ago
- Contract net protocol (CNP algorithm), decentralized market-based protocol for multi-agent multi-task allocation problems over networks …☆62Updated 6 years ago
- A Deep Learning Approach to UAV Path Planning☆79Updated 7 years ago
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆34Updated 2 years ago
- A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem☆12Updated 3 years ago
- A Benchmark for Multi-UAV Task Allocation of an Extended Team Orienteering Problem☆189Updated 2 years ago
- Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.☆14Updated 2 years ago
- Reinforcement Learning for Multi-Agent Path Finding☆40Updated 9 months ago
- Reference code for the paper ""Centroid-Guided Target-Driven Topology Control Method for UAV Ad-Hoc Networks Based on Tiny Deep Reinforce…☆10Updated last year