Distributed Multi-Agent Deep Reinforcement Learning for Robust Coordination against Noise.
Yoshinari MotokawaToshiharu SugawaraPublished in: IJCNN (2022)
Keyphrases
- multi agent
- reinforcement learning
- cooperative
- multi agent reinforcement learning
- cooperative multi agent systems
- multi agent systems
- multi agent coordination
- image noise
- intelligent agents
- multi agent planning
- multiagent systems
- multiagent learning
- single agent
- distributed artificial intelligence
- multi agent environments
- distributed systems
- autonomous agents
- multiple agents
- noisy environments
- function approximation
- agent interactions
- random noise
- distributed control
- multiagent reinforcement learning
- dynamic programming
- imaging artifacts
- salt pepper
- distributed problem solving
- cognitive agents
- geometric distortions
- software agents
- model free
- signal to noise ratio
- noisy data
- learning process
- learning algorithm