A review of research on reinforcement learning algorithms for multi-agents.
Kai HuMingyang LiZhiqiang SongKeer XuQingfeng XiaNing SunPeng ZhouMin XiaPublished in: Neurocomputing (2024)
Keyphrases
- reinforcement learning algorithms
- reinforcement learning
- multi agent
- model free
- markov decision processes
- multi agent environments
- state space
- reinforcement learning problems
- temporal difference
- reinforcement learning methods
- reward function
- function approximation
- eligibility traces
- policy search
- learning algorithm
- multiagent reinforcement learning
- reward shaping
- partially observable environments
- dynamic environments
- cooperative
- stochastic games
- policy iteration
- neural network
- transition probabilities
- optimal policy
- search algorithm
- data mining