Differentially Private Temporal Difference Learning with Stochastic Nonconvex-Strongly-Concave Optimization.
Canzhe ZhaoYanjie ZeJing DongBaoxiang WangShuai LiPublished in: CoRR (2022)
Keyphrases
- temporal difference learning
- differentially private
- global optimization
- function approximation
- objective function
- reinforcement learning
- evaluation function
- fixed point
- monte carlo
- differential privacy
- game playing
- temporal difference
- markov decision process
- hidden markov models
- data sets
- reinforcement learning algorithms
- machine learning