Adaptive Scheduling In Dynamic Environments: A Data-Driven Approach With Digital Twins And Deep Reinforcement Learning.
Bulent SoykanAhmad Bany AbdelnabiGhaith RabadiPublished in: DTPI (2023)
Keyphrases
- dynamic environments
- reinforcement learning
- adaptive control
- data driven
- reinforcement learning agents
- autonomous agents
- scheduling problem
- mobile robot
- single agent
- function approximation
- path planning
- visual slam
- reinforcement learning algorithms
- state space
- model free
- learning capabilities
- autonomous systems
- scheduling algorithm
- collision avoidance
- temporal difference
- potential field
- highly dynamic environments
- agent systems
- changing environment
- optimal policy
- plan execution
- real environment
- belief space
- distributed systems
- cooperative
- machine learning
- real time