Deep Reinforcement Learning for Multi-Agent Interaction.
Ibrahim H. AhmedCillian BrewittIgnacio CarluchoFilippos ChristianosMhairi DunionElliot FosongSamuel GarcinShangmin GuoBalint GyevnarTrevor McInroeGeorgios PapoudakisArrasy RahmanLukas SchäferMassimiliano TamborskiGiuseppe VecchioCheng WangStefano V. AlbrechtPublished in: CoRR (2022)
Keyphrases
- reinforcement learning
- agent interactions
- multi agent
- function approximation
- multi agent systems
- intelligent agents
- markov decision processes
- multi agent reinforcement learning
- state space
- reinforcement learning algorithms
- model free
- complex domains
- learning algorithm
- software agents
- optimal policy
- supervised learning
- domain knowledge
- learning agent
- function approximators
- special case
- genetic algorithm
- robotic control