A Survey of Multi-Agent Deep Reinforcement Learning with Communication.
Changxi ZhuMehdi DastaniShihan WangPublished in: AAMAS (2024)
Keyphrases
- reinforcement learning
- multi agent
- agent communication
- function approximation
- reinforcement learning algorithms
- state space
- communication systems
- cooperative
- multi agent systems
- distributed control
- learning algorithm
- heterogeneous agents
- multi agent environments
- multiagent systems
- markov decision processes
- communication networks
- multi agent reinforcement learning
- single agent
- data acquisition
- multiple agents
- coalition formation
- reinforcement learning agents
- partially observable
- software agents
- communication overhead
- learning problems
- learning agents
- intelligent agents
- multiagent reinforcement learning
- machine learning
- traffic signal control
- reinforcement learning methods
- communication patterns
- partially observable markov decision processes
- agent oriented
- temporal difference
- communication channels
- information exchange
- transfer learning