Use Of Reinforcement Learning for Prioritizing Communications in Contested and Dynamic Environments.
Dustin CraggsKin Leong LeeVanja RadenovicBenjamin CampbellClaudia SzaboPublished in: WSC (2022)
Keyphrases
- dynamic environments
- reinforcement learning
- reinforcement learning algorithms
- reinforcement learning agents
- mobile robot
- autonomous agents
- path planning
- communication systems
- single agent
- function approximation
- adaptive control
- multi agent
- autonomous systems
- changing environment
- highly dynamic environments
- agent systems
- learning algorithm
- potential field
- agent based systems
- state space
- machine learning
- temporal difference
- collision avoidance
- dynamic programming
- cooperative
- model free
- optimal control
- markov decision processes
- real robot
- plan execution
- real environment
- optimal policy
- belief space
- visual slam