Differentially Private Regret Minimization in Episodic Markov Decision Processes.
Sayak Ray ChowdhuryXingyu ZhouPublished in: CoRR (2021)
Keyphrases
- markov decision processes
- differentially private
- regret minimization
- nash equilibrium
- differential privacy
- game theoretic
- finite state
- state space
- optimal policy
- reinforcement learning
- dynamic programming
- policy iteration
- transition matrices
- decision theoretic planning
- action space
- markov decision process
- average cost
- infinite horizon
- average reward
- stochastic games
- model selection
- data mining
- reinforcement learning algorithms
- game theory
- multi agent learning
- reward function
- privacy preserving