Shikhar Singh Lodhi

According to our database, Shikhar Singh Lodhi authored at least 8 papers between 2023 and 2026.

Collaborative distances:

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

2026

A Novel Option Policy Driven Hierarchical Deep Reinforcement Learning for Autonomous Vehicle Overtaking Maneuver.

Shikhar Singh Lodhi, Rajan Kumar Sah, Neetesh Kumar, Pradumn Kumar Pandey

IEEE Trans. Veh. Technol., May, 2026

Semi-Markov Options Enabled DDPG Method for Autonomous Vehicle Overtaking With LiDAR and RADAR Fusion.

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey

IEEE Trans. Mob. Comput., March, 2026

2025

Dynamic Option Policy Enabled Hierarchical Deep Reinforcement Learning Model for Autonomous Overtaking Maneuver.

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey

IEEE Trans. Intell. Transp. Syst., April, 2025

NoRD: A framework for noise-resilient self-distillation through relative supervision.

Saurabh Sharma, Shikhar Singh Lodhi, Vanshika Srivastava, Joydeep Chandra

Appl. Intell., April, 2025

Deep Deterministic Policy Gradient Method for Autonomous Vehicle Maneuvering Through Multimodal LiDAR and RADAR Sensor Fusion.

Shikhar Singh Lodhi, Neetesh Kumar, Teena Sharma

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

Option Policies for Obstacle Avoidance in Safety Critical Scenarios Using Hierarchical Deep Reinforcement Learning.

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey

Proceedings of the IEEE Intelligent Vehicles Symposium, 2025

2023

SCL-IKD: intermediate knowledge distillation via supervised contrastive representation learning.

Saurabh Sharma, Shikhar Singh Lodhi, Joydeep Chandra

Appl. Intell., December, 2023

Autonomous vehicular overtaking maneuver: A survey and taxonomy.

Shikhar Singh Lodhi, Neetesh Kumar, Pradumn Kumar Pandey

Veh. Commun., August, 2023