activity
20152020
most citedMonte Carlo Tree Search Based Tactical Maneuvering

2 citations · 3 across the 6 of their papers we have counts for

collaborators

9 papers

cs.AI20202 cited

Monte Carlo Tree Search Based Tactical Maneuvering

Kunal Srivastava, Amit Surana

In this paper we explore the application of simultaneous move Monte Carlo Tree Search (MCTS) based online framework for tactical maneuvering between two unmanned aircrafts. Compare…

cs.LG2020

Guided Policy Search Based Control of a High Dimensional Advanced Manufacturing Process

Amit Surana, Kishore Reddy, Matthew Siopis

In this paper we apply guided policy search (GPS) based reinforcement learning framework for a high dimensional optimal control problem arising in an additive manufacturing process…

eess.SY2020

Data-Driven Model Reduction for Multilinear Control Systems via Tensor Trains

Can Chen, Amit Surana, Anthony Bloch +1

In this paper, we explore the role of tensor algebra in balanced truncation (BT) based model reduction/identification for high-dimensional multilinear/linear time invariant systems…

eess.SY2019

UAV Surveillance Under Visibility and Dwell-Time Constraints: A Sampling-Based Approach

Jeffrey R. Peters, Amit Surana, Grant S. Taylor +2

A framework is introduced for planning unmanned aerial vehicle flight paths for visual surveillance of ground targets, each having particular viewing requirements. Specifically, ea…

math.OC2019

Multilinear Time Invariant System Theory

Can Chen, Amit Surana, Anthony Bloch +1

In biological and engineering systems, structure, function and dynamics are highly coupled. Such interactions can be naturally and compactly captured via tensor based state space d…

math.OC2019

Multilinear Control Systems Theory

Can Chen, Amit Surana, Anthony Bloch +1

In this paper, we provide a system theoretic treatment of a new class of multilinear time-invariant (MLTI) systems in which the states, inputs and outputs are tensors, and the syst…