Provably Efficient Primal-Dual Reinforcement Learning for CMDPs with Non-stationary Objectives and Constraints.
Yuhao DingJavad LavaeiPublished in: AAAI (2023)
Keyphrases
- non stationary
- primal dual
- linear programming problems
- reinforcement learning
- linear programming
- interior point methods
- affine scaling
- adaptive algorithms
- multiple objectives
- algorithm for linear programming
- linear program
- simplex algorithm
- convex optimization
- convergence rate
- approximation algorithms
- variational inequalities
- mixed integer
- valid inequalities
- empirical mode decomposition
- image segmentation
- interior point algorithm
- feature extraction
- hidden markov models
- simplex method
- dynamic programming