AI Agents for Sequential Promotions: Combining Deep Reinforcement Learning and Dynamic Field Experimentation.
Wen WangBeibei LiXueming LuoXiaoyi WangPublished in: ICIS (2020)
Keyphrases
- reinforcement learning
- multi agent
- dynamic environments
- multi agent systems
- multiagent systems
- artificial intelligence
- multi agent reinforcement learning
- multiagent learning
- learning agents
- dynamically evolving
- software agents
- open environments
- autonomous agents
- areas of computer science
- multiple agents
- multi agent environments
- intelligent agents
- function approximation
- cooperative
- intelligent systems
- action selection
- single agent
- partial information
- learning algorithm
- ai researchers
- highly dynamic
- multiagent reinforcement learning
- reinforcement learning agents
- changing environment
- knowledge base
- computational intelligence
- expert systems
- agent receives
- partial observability
- intelligent behavior
- learning agent
- virtual organization
- coalition formation
- markov decision processes
- optimal policy
- state space