27 citations · 206 across the 63 of their papers we have counts for
10 papers · 1 filter
Off-Policy Evaluation Using Information Borrowing and Context-Based Switching
Sutanoy Dasgupta, Yabo Niu, Kishan Panaganti +3
We consider the off-policy evaluation (OPE) problem in contextual bandits, where the goal is to estimate the value of a target policy using the data collected by a logging policy.…
Sample Complexity of Robust Reinforcement Learning with a Generative Model
Kishan Panaganti, Dileep Kalathil
The Robust Markov Decision Process (RMDP) framework focuses on designing control policies that are robust against the parameter uncertainties due to the mismatches between the simu…
DOPE: Doubly Optimistic and Pessimistic Exploration for Safe Reinforcement Learning
Archana Bura, Aria HasanzadeZonuzy, Dileep Kalathil +2
Safe reinforcement learning is extremely challenging--not only must the agent explore an unknown environment, it must do so while ensuring no safety constraint violations. We formu…
Safe Online Convex Optimization with Unknown Linear Safety Constraints
Sapana Chaudhary, Dileep Kalathil
We study the problem of safe online convex optimization, where the action at each time step must satisfy a set of linear safety constraints. The goal is to select a sequence of act…
Online Robust Control of Linear Dynamical Systems with Limited Prediction
Deepan Muthirayan, Dileep Kalathil, Pramod P. Khargonekar
We study the online robust control problem for linear dynamical systems with disturbances and uncertainties in the cost functions, with limited preview of the future disturbances a…
Online Learning for Predictive Control with Provable Regret Guarantees
Deepan Muthirayan, Jianjun Yuan, Dileep Kalathil +1
We study the problem of online learning in predictive control of an unknown linear dynamical system with time varying cost functions which are unknown apriori. Specifically, we stu…
Policy Optimization for Constrained MDPs with Provable Fast Global Convergence
Tao Liu, Ruida Zhou, Dileep Kalathil +2
We address the problem of finding the optimal policy of a constrained Markov decision process (CMDP) using a gradient descent-based algorithm. Previous results have shown that a pr…
OTTR: Off-Road Trajectory Tracking using Reinforcement Learning
Akhil Nagariya, Dileep Kalathil, Srikanth Saripalli
In this work, we present a novel Reinforcement Learning (RL) algorithm for the off-road trajectory tracking problem. Off-road environments involve varying terrain types and elevati…
PyProD: A Machine Learning-Friendly Platform for Protection Analytics in Distribution Systems
Dongqi Wu, Dileep Kalathil, Miroslav Begovic +1
This paper introduces PyProD, a Python-based machine learning (ML)-compatible test-bed for evaluating the efficacy of protection schemes in electric distribution grids. This testbe…
Learning Policies with Zero or Bounded Constraint Violation for Constrained MDPs
Tao Liu, Ruida Zhou, Dileep Kalathil +2
We address the issue of safety in reinforcement learning. We pose the problem in an episodic framework of a constrained Markov decision process. Existing results have shown that it…