Apoorva Khairnar

According to our database, Apoorva Khairnar authored at least 8 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Autonomous Vehicle Collision Avoidance With Racing Parameterized Deep Reinforcement Learning.

Shathushan Sivashangaran, Vihaan Dutta, Apoorva Khairnar, Sepideh Gohari, Azim Eskandarian

CoRR, April, 2026

Physics-Informed Reinforcement Learning of Spatial Density Velocity Potentials for Map-Free Racing.

Shathushan Sivashangaran, Apoorva Khairnar, Sepideh Gohari, Vihaan Dutta, Azim Eskandarian

CoRR, April, 2026

OpenPRC: A Unified Open-Source Framework for Physics-to-Task Evaluation in Physical Reservoir Computing.

Yogesh Phalak, Wen Sin Lor, Apoorva Khairnar, Benjamin Jantzen, Noel Naughton, Suyi Li

CoRR, April, 2026

Spider web-inspired sensing and computation with fiber network physical reservoirs.

Apoorva Khairnar, Yogesh Phalak, Jun Wang, Ziyang Zhou, Benjamin Jantzen, Suyi Li, Noel Naughton

CoRR, January, 2026

2024

Exploration Without Maps via Zero-Shot Out-of-Distribution Deep Reinforcement Learning.

Shathushan Sivashangaran, Apoorva Khairnar, Azim Eskandarian

CoRR, 2024

2023

AutoVRL: A High Fidelity Autonomous Ground Vehicle Simulator for Sim-to-Real Deep Reinforcement Learning.

Shathushan Sivashangaran, Apoorva Khairnar, Azim Eskandarian

CoRR, 2023

2021

Supervision of Carbide Tool Condition by Training of Vibration-based Statistical Model using Boosted Trees Ensemble.

Apoorva Khairnar, Abhishek D. Patange, Sujit Pardeshi, R. Jegadeeshwaran

Int. J. Perform. Eng., 2021

A White-Box SVM Framework and its Swarm-Based Optimization for Supervision of Toothed Milling Cutter through Characterization of Spindle Vibrations.

Tejas Y. Deo, Abhishek D. Patange, Sujit S. Pardeshi, R. Jegadeeshwaran, Apoorva N. Khairnar, Hrushikesh S. Khade

CoRR, 2021