SC-MAIRL: Semi-Centralized Multi-Agent Imitation Reinforcement Learning.
Paul BrackettSiming LiuYan LiuPublished in: IEEE Access (2023)
Keyphrases
- reinforcement learning
- multi agent
- function approximation
- single agent
- state space
- imitation learning
- peer to peer
- learning algorithm
- cooperative
- distributed environment
- multi agent environments
- multi agent reinforcement learning
- markov decision processes
- multi agent systems
- reinforcement learning agents
- machine learning
- optimal policy
- temporal difference
- temporal difference learning
- reinforcement learning algorithms
- learning agents
- software agents
- multi agent coordination
- multiagent systems
- autonomous agents
- partially observable
- reward function
- reinforcement learning methods
- multiple agents
- learning process
- transfer learning
- learning problems