A Convolutional Neural Network Approach Towards Self-Driving Cars. - Akhil Agnihotri; Prathamesh Saraf; Kriti Rajesh Bapnad (CoRR, 2019)

Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. - Sharad Chitlangia; Zuxin Liu; Akhil Agnihotri; Ding Zhao (CoRR, 2021)

Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. - Hanjiang Hu; Zuxin Liu; Sharad Chitlangia; Akhil Agnihotri; Ding Zhao (CVPR, 2022)

Average-Constrained Policy Optimization. - Akhil Agnihotri; Rahul Jain 002; Haipeng Luo (CoRR, 2023)

ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. - Akhil Agnihotri; Rahul Jain 002; Haipeng Luo (ICML, 2024)

e-COP : Episodic Constrained Optimization of Policies. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Sahil Singla 005 (NeurIPS, 2024)

Online Bandit Learning with Offline Preference Data. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2024)

Best Policy Learning from Trajectory Preference Feedback. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2025)

Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models. - Akhil Agnihotri; Rahul Jain 002; Deepak Ramachandran; Zheng Wen 002 (CoRR, 2025)