Recent clinical trials have shown that adaptive drug therapies can be more efficient than a
standard cancer treatment based on a continuous use of maximum tolerated doses (MTD) …

This paper presents an extension of the reinforcement learning algorithms to design
suboptimal control sequences for multiple performance functions in continuous-time …

We propose a PDE approach for computing time-optimal trajectories of a vehicle which
travels under certain curvature constraints. We derive a class of Hamilton–Jacobi equations …

In this work we present a new approach for the characterization of Pareto fronts for
multiobjective optimal control problems. Our approach is based on the Hamilton--Jacobi …

The optimal path planning problem is considered for rovers. Tip-over risk is accurately
modelled using direction dependence. In the previous direction-independent model, the …

In many engineering problems, including those related to robotics, optimization of the control
policy for multiple conflicting criteria is required. However, this can be very challenging …

We present a numerical method for minimum time heading control of fixed speed AUVs
(autonomous underwater vehicles) such as gliders in known, spatially complex, 2D, time …

In this paper, a novel primal–dual adaptive dynamic programming (PDADP) method is
developed to solve finite-horizon optimal control problems (OCPs) with isoperimetric …

We show that nondominated sorting of a sequence X_1,\dots,X_n of independent and
identically distributed random variables in R^d has a continuum limit that corresponds to …

In this article, a novel multistep look-ahead policy iteration with isoperimetric constraints
(MLPIIC) method is developed to solve infinite horizon optimal control problems (OCPs) with …