Deep Reinforcement Learning in a Dynamic Environment: A Case Study in the Telecommunication Industry.
Hongyi ZhangJingya LiZhiqiang Tyler QiXingqin LinAnders AronssonJan BoschHelena Holmström OlssonPublished in: SEAA (2022)
Keyphrases
- dynamic environments
- reinforcement learning
- case study
- reinforcement learning agents
- reinforcement learning algorithms
- autonomous agents
- mobile robot
- function approximation
- potential field
- path planning
- test bed
- model free
- transfer learning
- agent systems
- highly dynamic environments
- changing environment
- collision avoidance
- optimal control
- environmental conditions
- markov decision processes
- optimal policy
- machine learning
- adaptive control
- state space
- real time
- single agent
- plan execution
- learning agent
- telecommunication networks
- learning algorithm