Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments" - maddpg/README.md at master · jin749/maddpg
master maddpg-replication/CONTRIBUTING.md Go to file 23 lines (17 sloc) 969 Bytes Raw Blame How to Contribute We'd love to accept your patches and contributions to this project. There are just a few small guidelines you need to follow. Contributor License Agreement Contributions to this...
This algorithm screenshot is taken from theDDPG algorithm from the Spinning Up website Multi Agent Deep Deterministic Policy Gradient (MADDPG) For this project I have used a variant of DDPG calledMulti Agent Deep Deterministic Policy Gradient (MADDPG)which is described in the paperMulti-Agent Actor...
sim_env: Customized Multi-UAV round-up environment; main: Main loop to train agents; main_evaluate: Only rendering part is retained in main, in order to evaluate models (a set of feasible models is provided in tmp/maddpg/UAV_Round_up;math_tool: some math-relevant functions....
After the majority of this codebase was complete, OpenAI released their code for MADDPG, and I made some tweaks to this repo to reflect some of the details in their implementation (e.g. gradient norm clipping and policy regularization)....
多智能体强化学习仿真环境配置 在上述建立的conda环境中,到仿真环境github地址下载代码到工程文件夹中,cd multiagent-particle-envs使用pip install -e .安装multiagent-particle-envs 1.MADDPG算法 运行train_maddpg.py 如果需要修改参数,修改base\args_config.py文件的parse_args_maddpg函数的里面定义的参数。
多智能体强化学习仿真环境配置 在上述建立的conda环境中,到仿真环境github地址下载代码到工程文件夹中,cd multiagent-particle-envs使用pip install -e .安装multiagent-particle-envs 1.MADDPG算法 运行train_maddpg.py 如果需要修改参数,修改base\args_config.py文件的parse_args_maddpg函数的里面定义的参数。
fangvv/VN-MADDPGPublic NotificationsYou must be signed in to change notification settings Fork20 Star241 Files main MADDPG MADQN Random SAMADDPG README.md This is the source code for our paper:基于多智能体深度强化学习的车联网通信资源分配优化. A brief introduction of this work is as follows:...