4 papers
Nonlinear Control of Quadcopters via Approximate Dynamic Programming
Angel Romero, Paul N. Beuchat, Yvonne R. Stürz +2
While Approximate Dynamic Programming has successfully been used in many applications involving discrete states and inputs such as playing the games of Tetris or chess, it has not…
Accelerated Point-wise Maximum Approach to Approximate Dynamic Programming
Paul N. Beuchat, Joseph Warrington, John Lygeros
We describe an approximate dynamic programming approach to compute lower bounds on the optimal value function for a discrete time, continuous space, infinite horizon setting. The a…
Generalized Dual Dynamic Programming for Infinite Horizon Problems in Continuous State and Action Spaces
Joseph Warrington, Paul N. Beuchat, John Lygeros
We describe a nonlinear generalization of dual dynamic programming theory and its application to value function estimation for deterministic control problems over continuous state…
Performance guarantees for model-based Approximate Dynamic Programming in continuous spaces
Paul N. Beuchat, Angelos Georghiou, John Lygeros
We study both the value function and Q-function formulation of the Linear Programming approach to Approximate Dynamic Programming. The approach is model-based and optimizes over a…