27 citations · 206 across the 63 of their papers we have counts for
9 papers · 1 filter
A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
Bochan Lee, Vishnu Saj, Moble Benedict +1
The paper discusses a novel vision-based estimation and control approach to enable fully autonomous tracking and landing of vertical take-off and landing (VTOL) capable unmanned ae…
Versus Induced by the Boson
Zhaofeng Kang, Yoshihiro Shigekami
To address the long-standing anomaly via a light boson, in Ref. [1] we proposed to extend the standard model (SM) by the local , under which only the second a…
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil +1
Many physical systems have underlying safety considerations that require that the policy employed ensures the satisfaction of a set of constraints. The analytical formulation usual…
Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee, Desik Rengarajan, Dileep Kalathil +1
Mean Field Games (MFG) are the class of games with a very large number of agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms for learning MFE…
Robust Reinforcement Learning using Least Squares Policy Iteration with Provable Performance Guarantees
Kishan Panaganti, Dileep Kalathil
This paper addresses the problem of model-free reinforcement learning for Robust Markov Decision Process (RMDP) with large state spaces. The goal of the RMDP framework is to find a…
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms
Archana Bura, Desik Rengarajan, Dileep Kalathil +2
Crucial performance metrics of a caching algorithm include its ability to quickly and accurately learn a popularity distribution of requests. However, a majority of work on analyti…
Deep Reinforcement Learning-BasedRobust Protection in DER-Rich Distribution Grids
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces the concept of Deep Reinforcement Learning based architecture for protective relay design in power distribution systems with many distributed energy resources…
Bounded Regret for Finitely Parameterized Multi-Armed Bandits
Kishan Panaganti, Dileep Kalathil
We consider the problem of finitely parameterized multi-armed bandits where the model of the underlying stochastic environment can be characterized based on a common unknown parame…
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
Karthikeya S Parunandi, Aayushman Sharma, Suman Chakravorty +1
In this paper, we propose a structured linear parameterization of a feedback policy to solve the model-free stochastic optimal control problem. This parametrization is corroborated…