Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
☆16Feb 12, 2023Updated 3 years ago
Alternatives and similar repositories for Fleet-Scheduling-using-MADDPG-Multi-Agent-RL
Users that are interested in Fleet-Scheduling-using-MADDPG-Multi-Agent-RL are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This is a MADDPG algorithm to be used on particle environment styles. I use it to test my own scenarios for underwater target localizatio…☆18Jun 23, 2021Updated 5 years ago
- created an environment of 10*10 grid and 4 UAVs to carry out coverage path planning cooperatively☆109Oct 25, 2021Updated 4 years ago
- Distributed Online Service Coordination Using Deep Reinforcement Learning☆18Sep 4, 2023Updated 2 years ago
- Code for Multi-agent reinforcement learning to unify order-matching and vehicle-repositioning in ride-hailing services☆25Sep 19, 2022Updated 3 years ago
- DeepCoord: Self-Learning Network and Service Coordination Using Deep Reinforcement Learning☆29May 10, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- We implement MADDPG in a congestion env, and compare with several control groups to highlight the performance of MADDPG☆11Jul 14, 2021Updated 5 years ago
- Order Fulfillment by Multi-Agent Reinforcement Learning☆28Jun 12, 2026Updated 2 months ago
- A Simulator for Traffic Intersection based on Crossroads technique☆10Dec 4, 2019Updated 6 years ago
- 运行图显示程序☆13Oct 12, 2021Updated 4 years ago
- LLM survey☆14Apr 14, 2025Updated last year
- Project explores collaboration capabilities of VDN and IQL agents on a custom MARL Food Collector environment☆11Apr 6, 2022Updated 4 years ago
- Use Multi-agent Twin Delayed Deep Deterministic Policy Gradient(TD3) algorithm to find reasonable paths for ships☆69Jan 2, 2023Updated 3 years ago
- We use policy gradient to help agents learn optimal policies in a competitive multi-agent contextual bandit setting☆12Mar 9, 2018Updated 8 years ago
- Deep reinforcement learning with a particle dynamics environment applied to emergency evacuation of a room with obstacles☆10Mar 6, 2026Updated 5 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A GitHub repository associated with paper "Learn to Earn: Enabling Coordination Within a Ride-Hailing Fleet"☆10Jun 22, 2020Updated 6 years ago
- This repository contains a jupyter notebook which includes the code for Q-learning and SARSA based path planning of 2 UAVs in 2D grid env…☆11Aug 11, 2023Updated 3 years ago
- Cooperative Energy Management and Eco-driving of Plug-in Hybrid Electric Vehicle via Multi-agent Reinforcement Learning☆33Sep 5, 2022Updated 3 years ago
- Multi-Agent PathFinding (MAPF) for 2D Robots moving inventory on a grid - Practice building environment + robots + planning + inventory m…☆16Nov 20, 2023Updated 2 years ago
- Source code for "Congestion-aware Distributed Task Offloading in Wireless Multi-hop Networks Using Graph Neural Networks"☆14Oct 23, 2024Updated last year
- Deep Reinforcement Learning (DRL) algorithms have been successfully applied to a range of challenging simulated continuous control single…☆54Mar 4, 2019Updated 7 years ago
- Concise pytorch implements of MARL algorithms, including MAPPO, MADDPG, MATD3, QMIX and VDN.☆741Oct 13, 2022Updated 3 years ago
- A Novel Network-Flow Model for Building Evacuation: Route Choices of Evacuees are Modeled with Herding Effect☆11Sep 6, 2024Updated last year
- some simple examples for MPC.☆16Aug 20, 2020Updated 6 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Lipschitz Lifelong RL☆11Nov 6, 2020Updated 5 years ago
- Continual Multi-agent Reinforcement Learning in Dynamic Environments☆11Jul 1, 2021Updated 5 years ago
- code for☆11Apr 10, 2021Updated 5 years ago
- Addressing novel Lyapunov-based tracking formation control with nonlinear dynamics, stability analysis and practical efficiency demonstra…☆16Oct 31, 2024Updated last year
- Reinforcement Learning for Multi-Agent Path Finding☆44Apr 12, 2025Updated last year
- Optimal energy dispatch with reinforcement learning☆18Nov 29, 2018Updated 7 years ago
- Adaptation of DQN, DDQN and COMA for multi-agent Gym environments☆10Oct 3, 2023Updated 2 years ago
- ABC+PSO Path Planning☆48Dec 19, 2024Updated last year
- An RL environment made for wildfire evacuation.☆17Apr 2, 2025Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- In-vehicle gateway intrusion detection based on ARM☆13Jan 26, 2021Updated 5 years ago
- Minimum Energy Resource Allocation Strategy with partial offloading☆10Jan 17, 2022Updated 4 years ago
- MiniMax Multi-Agent Deep Deterministic Policy Gradient (M3DDPG) pytorch implementation☆15Feb 19, 2021Updated 5 years ago
- Active Vision Tracking of a Tendon-driven continuum robot by using efficient model-based Reinforcement Learning☆12Aug 25, 2023Updated 3 years ago
- multi-agent pathfinding via dqn☆16May 19, 2021Updated 5 years ago
- Reinforcement Learning Practice for Multi and Single-Agent Autonomous vehicle☆12Dec 11, 2020Updated 5 years ago
- 设计制作一款能够奔跑的双足机器人,只为稳定奔跑。省去一切华丽的表演动作。 如果一定要给它取个名字,就叫狂奔吧!Design and make a biped robot that can run, only for stable running. Eliminate a…☆13Jun 18, 2019Updated 7 years ago