Reinforcement Learning with Fairness Constraints for Resource Distribution in Human-Robot Teams.
Houston ClaureYifang ChenJignesh ModiMalte F. JungStefanos NikolaidisPublished in: CoRR (2019)
Keyphrases
- reinforcement learning
- resource allocation
- robot teams
- resource constraints
- function approximation
- probability distribution
- random variables
- multi robot
- learning algorithm
- state space
- markov decision processes
- human interaction
- linear constraints
- real time
- human behavior
- hard constraints
- soft constraints
- constraint satisfaction
- geometric constraints
- human subjects
- human activities
- path planning
- intelligent agents
- multi agent
- neural network