Akhil Agnihotri

11 papers A* 3Journal 8
YearRankTypeTitle / Venue / Authors
2025 J jnl
Best Policy Learning from Trajectory Preference Feedback.
CoRR
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2025 J jnl
Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models.
CoRR
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2025 J jnl
Multi-Objective Reward and Preference Optimization: Theory and Algorithms.
CoRR
Akhil Agnihotri
2024 A* conf
ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints.
ICML
Akhil Agnihotri, Rahul Jain, Haipeng Luo
2024 J jnl
Online Bandit Learning with Offline Preference Data.
CoRR
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Zheng Wen
2024 A* conf
e-COP : Episodic Constrained Optimization of Policies.
NeurIPS
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
2024 J jnl
e-COP : Episodic Constrained Optimization of Policies.
CoRR
Akhil Agnihotri, Rahul Jain, Deepak Ramachandran, Sahil Singla
2023 J jnl
Average-Constrained Policy Optimization.
CoRR
Akhil Agnihotri, Rahul Jain, Haipeng Luo
2022 A* conf
Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving.
CVPR
Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao
2021 J jnl
Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles.
CoRR
Sharad Chitlangia, Zuxin Liu, Akhil Agnihotri, Ding Zhao
2019 J jnl
A Convolutional Neural Network Approach Towards Self-Driving Cars.
CoRR
Akhil Agnihotri, Prathamesh Saraf, Kriti Rajesh Bapnad