Local Differential Privacy for Regret Minimization in Reinforcement Learning.
Evrard GarcelonVianney PerchetCiara Pike-BurkeMatteo PirottaPublished in: NeurIPS (2021)
Keyphrases
- differential privacy
- regret minimization
- reinforcement learning
- differentially private
- privacy preserving
- private data
- privacy guarantees
- nash equilibrium
- game theoretic
- privacy preserving data mining algorithms
- state space
- data sharing
- personal information
- data privacy
- privacy preservation
- function approximation
- multi agent learning
- anonymized data
- optimal policy
- learning algorithm
- machine learning
- model free
- dynamic programming
- database
- multi agent