This paper proposes a reinforcement learning framework to tune collective motion behaviours from random behaviours.

This paper proposes a reinforcement learning framework to tune collective motion behaviours from random behaviours.

本文提出了一种强化学习框架，用于从随机行为中调整集体运动行为。学习过程由一种新颖的奖励函数指导，该奖励函数能够从有关相邻代理的相对速度和位置的传感器数据中自主检测 ...

Dec 5, 2022 · This paper proposes an architecture for self-bootstrapping collective motion behaviours in the presence of such extrinsic goals. The ...

May 30, 2024 · Recent work has shown the possibility for groups of robots to self-bootstrap collective motion behaviours in open arenas.

This paper proposes an iterative transfer learning approach to achieve swarming collective motion in groups of mobile robots.

Nov 29, 2022 · This work is an exploratory research concerned with determining in what way reinforcement learning can be used to predict optimal PID parameters for a robot ...

Reinforcement Learning for Collective Motion Tuning in the Presence of ... Automatic swarm behaviour tuning using actor-critic deep reinforcement learning.

... Automatic Collective Motion Tuning using Actor-Critic Deep Reinforcement Learning', Swarm and Evolutionary Computation, 72, pp. 101085, http://dx.doi.org ...

Mar 16, 2023 · This paper proposes an iterative transfer learning approach to achieve swarming collective motion in groups of mobile robots.