27 citations · 33 across the 7 of their papers we have counts for
15 papers
The Impact of Heavy-Duty Vehicle Electrification on Large Power Grids: a Synthetic Texas Case Study
Rayan El Helou, S. Sivaranjani, Dileep Kalathil +2
The electrification of heavy-duty vehicles (HDEVs) is a nascent and rapidly emerging avenue for decarbonization of the transportation sector. In this paper, we examine the impacts…
Reinforcement Learning with Sparse Rewards using Guidance from Offline Demonstration
Desik Rengarajan, Gargi Vaidya, Akshay Sarvesh +2
A major challenge in real-world reinforcement learning (RL) is the sparsity of reward feedback. Often, what is available is an intuitive but sparse reward function that only indica…
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…
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…
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…