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Liu Jie
Multi AGV Cooperative Delivery Algorithm Based On MADDPG
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fbe1b836
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3 years ago
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Mingze Lv
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#
Multi-agent Reinforcement Learning
#
基于多智能体强化学习的多车协作配送算法
This environment built on the multi-agent-rl environment(https://github.com/mohammadasghari/dqn-multi-agent-rl).
**简介:**
## Test
针对车间配送任务下的多车协作性不足、过于依赖集中控制的问题,将多智能体强化学习算法MADDPG应用于车间配送场景,以车辆为智能体对象,基于部分可观察的环境特性,结合材料配送信息、车辆运载能力及周边车辆信息,对多车协作配送任务进行优化。
python multiagent.py --agents_number 4 --grid_size 10
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**主要功能:**
多车协作算法是基于Python3.6环境下的tensorflow2、Keras等依赖库开发。算法输入为智能体数量与场景大小,输出为有协作性的智能体调度动作。该算法支持在同构智能体设计下的多车配送场景的训练与测试,目前正在进行异构智能体设计的场景拓展。在代码的实现过程中,参考了MADDPG、CCRL等第三方开源代码
**模型框架示意图:**
|
<div
style=
"width: 100pt"
>
算法名称 | 基于多智能体强化学习的多车协作配送算法 (Multi-AGV cooperative delivery algorithm based on MADDPG) |
| :--------------------------------- | :----------------------------------------------------------- |
| 算法接口 | python multiagent.py --agents_number --grid_size |
| 输入 | 智能体数量,场景大小 |
| 输出 | 各个智能体的决策动作 |
| 依赖库 | Python3.6+,tensorflow2.0,Keras2.3.1,pygame |
| 参考资源 | MADDPG、CCRL |
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