… multi-agent training stability and performance, we propose an evolutionary reinforcement
learning … paper are: 1) We investigate the multi-agent path planning problem in mixed dynamic …

… of evolution in multi-agent reinforcement learning more profoundly in the future. Currently, we
only use an evolutionary … and path planning based on multi-agent reinforcement learning,” …

… such as formation control, path planning, cooperative capture, … increasing of training data,
multi-agent reinforcement learning (… integrates the multi-agent reinforcement learning method, …

… for the system evolution of a Markov decision process, a Markov game, and an extensive-form
game, which correspond to the frameworks for single- and multi-agent RL, respectively. …

… paper a deep reinforcement based multi-agent path planning … environment different multi-agent
path planning problems … are solved using multi-agent deep reinforcement learning. In the …

… , a new model for a route planning system based on multi-agent reinforcement learning (MARL) …
to create a priority route plan for vehicles. The important part of the study was to use a …

… learning-based method called PRIMAL for multi-agent path-… imitation learning and multi-agent
reinforcement learning. In … of reinforcement learning combined with evolutionary thought. …

… Reward shaping for valuing communications during multiagent coordination. In Proceedings
of The 8th International Conference on Autonomous Agents and Multiagent Systems-…

… , ‘‘An evolutionary approach to constrained path planning of an … and path planning based
on multi-agent reinforcement learning,… Li, ‘‘An intelligent path planning scheme of autonomous …

… In this chapter a Deep Reinforcement Learning approach have been proposed to deal
with the Informative Path Planning problem using multiple surface vehicles. The proposed …