Sparsity-Inducing Optimal Control via Differential Dynamic Programming.
Traiko DinevWolfgang MerktVladimir IvanIoannis HavoutisSethu VijayakumarPublished in: CoRR (2020)
Keyphrases
- optimal control
- dynamic programming
- sparsity inducing
- structured sparsity
- variable selection
- sparse learning
- multistage
- infinite horizon
- state space
- linear programming
- reinforcement learning
- group lasso
- greedy algorithm
- sparse regression
- linear program
- optimal control problems
- learning problems
- convex optimization problems
- neural network
- sparse representation
- model selection
- evolutionary algorithm
- image processing
- learning algorithm