Multi-Agent Deep Reinforcement Learning for D2D-assisted MEC system with Energy Harvesting.
Xin MiHuaiwen HePublished in: ICACT (2023)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- multi agent environments
- state space
- image registration
- cooperative
- energy minimization
- multi agent systems
- energy consumption
- multi agent reinforcement learning
- autonomous agents
- single agent
- supervised learning
- reinforcement learning algorithms
- pose estimation
- machine learning
- learning algorithm
- learning agents
- reinforcement learning agents
- temporal difference
- energy saving
- model free
- learning problems
- learning process
- dynamic programming
- optimal policy
- intelligent agents
- multiagent systems
- markov decision processes
- low energy
- energy efficiency
- stochastic games
- minimum energy
- software agents
- state abstraction
- transition model
- team formation
- policy search
- wireless sensor networks