nkrgit / Fleet-Scheduling-using-MADDPG-Multi-Agent-RLLinks
Developed a Multi-Agent DDPG to solve Vehicle Scheduling problem.
☆13Updated 2 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
Sorting:
- Source code of paper "A Hierarchical Reinforcement Learning Algorithm Based on Attention Mechanism for UAV Autonomous Navigation"☆21Updated 2 years ago
- Deep Reinforcement Learning for UAV Routing in The Presence of Multiple Charging Stations☆25Updated 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
- Code for implementing/applying ODM*, PPO, MAAC, IC3Net and PRIMAL (PPO version) on a Multi-Agent gridworld environment.☆37Updated 4 years ago
- A pytorch implementation of Constrained Reinforcement Learning Algorithm, including Constrained Soft Actor Critic (Soft Actor Critic Lagr…☆38Updated 2 years ago
- This is a repo for my Bachelor's dissertation, a topic about using Reinforcement Learning to solve EV charge Scheduling question.☆22Updated last year
- using actor-critic method to dealing with the path-planning UAV problem☆18Updated 6 years ago
- Use Multi-Agent Deep Deterministic Policy Gradient(DDPG) algorithm to find reasonable paths for ships☆37Updated 2 years ago
- The code of paper "Learning Heterogeneous Strategies via Graph-based Multi-agent Reinforcement Learning in Mixed Cooperative-Competitive …☆14Updated 3 years ago
- code of paper 《Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem》☆17Updated 4 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☆50Updated 9 months ago
- Communication-efficient MARL for CACC☆26Updated last year
- Code for Deep Reinforcement Learning Based UAV Path Planning Algorithm in Agricultural Time-Constrained Data Collection☆20Updated 2 years ago
- my code for paper Parameterized-DQN☆22Updated 4 years ago
- ☆38Updated 3 years ago
- path coverage algorithm for drones using reinforcement learning☆11Updated 4 years ago
- 基于深度强化学习技术（DRL），提出了结合D3QN算法和多步学习的无人机3D路径优化算法。为进一步优化算法，提出一种三维同步导航和无线电测绘（SNARM）新框架。☆56Updated 2 years ago
- This code is for the paper titled Path Planning for the Dynamic UAV-aided Wireless Systems Using Monte Carlo Tree Search, which is under…☆27Updated 3 years ago
- 基于生物启发式算法的多智能体强化学习算法☆13Updated 4 years ago
- 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
- Multi-Agent Reinforcement Learning for Path Planning☆15Updated 3 years ago
- [EAAI] A two-stage reinforcement learning-based approach for multi-entity task allocation.☆18Updated 9 months ago
- ☆13Updated 4 years ago
- The Python implementation of the proposed framework in the paper Evolutionary Multi-Objective Deep Reinforcement Learning for Autonomous …☆26Updated last year
- Multi Agent Reinforcement Learning for Dense Path Planning☆31Updated 2 years ago
- The deep reinforcement learning method for multi-robot task allocation problem SR-ST-TA☆43Updated 2 years ago
- Multi Agent adaptation of Soft Actor Critic Reinforcement Learning Algorithm☆20Updated 6 years ago
- Graph Reinforcement Learning approach for Multi-Robot Task Allocation.☆30Updated 2 years ago
- 多代理(Multi agent)强化学习Qlearning算法在多目标探测问题(任务分配+功率优化)中的应用☆29Updated 6 years ago
- Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space☆48Updated 3 years ago