在Actor-Critic原理一文中进行了策略梯度的推导,本文将Actor-Critic进一步扩展到Multi-Agent的设定下,内容主要参考论文Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments。 目录 Motivation 背景 方法 1. Motivation 多智能体协同/竞争的场景很常见,大约可以分成3大类:合作、竞争、竞合和自利。 1)...
主要的原因是:AC分为actor,critic,如果实际使用中不进行训练的话,那么on-line与off-line的共同点就是actor,所以这里的actor我可以设计的尽可能通用,比如只采用自己的observation,\pi_i(a|o_i),然后将额外的信息交给critic,让critic能够帮助policy算出更准确的梯度 所以说从原来的:\nabla_{\theta_i}J(\theta_i...
Github:https://github.com/openai/multiagent-particle-envs 论文Blog:Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments - 穷酸秀才大艹包 - 博客园 (cnblogs.com) 创造新环境 您可以通过实现上面的前4个函数来创建新的场景 (`make_world()`, `reset_world()`, `reward()`, and `o...
更具体的来说,我们考虑有 N 个 agent 的游戏,所以,每个 agenti的期望汇报可以记为: 此处的 Q 函数 是一个中心化的动作值函数(centralized action-value function),将所有 agent 的动作作为输入,除了某些状态信息 X,然后输出是 the Q-value for agenti。 在最简单的情况下,x 可以包含所有 agent 的观测,x =...
With their ability to work on continuous action and state spaces, actor-critic RL algorithms are especially advantageous in that manner. So far, actor-critic methods have been applied to several single-agent control problems often with impressive results.Y.E. Bayiz...
Multi-AgentActor-CriticforMixedCooperative-Co。。。论⽂Blog：创造新环境 您可以通过实现上⾯的前4个函数来创建新的场景 (`make_world()`, `reset_world()`, `reward()`, and `observation()`).环境列表 | 代码中的环境名称 (⽂中的名称) | 是否沟通? | 是否竞争? | 笔记 | | simple.py | ...
We then present an adaptation of actor-critic methods that considers action policies of other agents and is able to successfully learn policies that require complex multi-agent coordination. Additionally, we introduce a training regimen utilizing an ensemble of policies for each agent that leads to ...
基于以上假设,通过蒸馏(distillation)和值匹配(value-matching)的方法将同质智能体的知识进行整合,提出一种新的multi-agent actor-critic算法。 所谓同质多智能体,就是状态空间和动作空间都是一样的智能体,比如无人机和无人机组成的就是同质智能体,无人机和无人车组成的就是异质多智能体。
Markov decision process (MDP) model, and we apply the multi-agent actor-attention-critic (MAAC) reinforcement learning (RL) algorithm to the proposed ... YY Gu,X Huang - 《International Journal of Electrical Power & Energy Systems》 被引量: 0发表: 2023年 Factored Multi-Agent Soft Actor-Cr...
In this approach, an actor-critic scheme is employed to improve the policy for a given Lagrange parameter update on a faster timescale as in the classical actor-critic architecture. A meta actor-critic scheme using this faster timescale policy updates is then employed to improve the Lagrange ...