Best Policy Learning from Trajectory Preference Feedback.

Akhil Agnihotri

Akhil Agnihotri Rahul Jain 0002 Deepak Ramachandran Zheng Wen 0002 Best Policy Learning from Trajectory Preference Feedback. 2025 January abs/2501.18873 CoRR https://doi.org/10.48550/arXiv.2501.18873 db/journals/corr/corr2501.html#abs-2501-18873 streams/journals/corr

Akhil Agnihotri Rahul Jain 0002 Deepak Ramachandran Zheng Wen 0002 Multi-Objective Preference Optimization: Improving Human Alignment of Generative Models. 2025 May abs/2505.10892 CoRR https://doi.org/10.48550/arXiv.2505.10892 db/journals/corr/corr2505.html#abs-2505-10892 streams/journals/corr

Akhil Agnihotri Multi-Objective Reward and Preference Optimization: Theory and Algorithms. 2025 December abs/2512.10601 CoRR https://doi.org/10.48550/arXiv.2512.10601 db/journals/corr/corr2512.html#abs-2512-10601 streams/journals/corr

Akhil Agnihotri Rahul Jain 0002 Haipeng Luo ACPO: A Policy Optimization Algorithm for Average MDPs with Constraints. 2024 ICML https://proceedings.mlr.press/v235/agnihotri24a.html https://openreview.net/forum?id=dmfvHU1LNF conf/icml/2024 db/conf/icml/icml2024.html#Agnihotri0L24 397-415 Akhil Agnihotri Rahul Jain 0002 Deepak Ramachandran Sahil Singla 0005 e-COP : Episodic Constrained Optimization of Policies. 2024 NeurIPS http://papers.nips.cc/paper_files/paper/2024/hash/c81d09a6a79c69354331cdd09e4d5a4e-Abstract-Conference.html conf/nips/2024 db/conf/nips/neurips2024.html#Agnihotri0R024

Akhil Agnihotri Rahul Jain 0002 Deepak Ramachandran Sahil Singla 0005 e-COP : Episodic Constrained Optimization of Policies. 2024 abs/2406.09563 CoRR https://doi.org/10.48550/arXiv.2406.09563 db/journals/corr/corr2406.html#abs-2406-09563

Akhil Agnihotri Rahul Jain 0002 Deepak Ramachandran Zheng Wen 0002 Online Bandit Learning with Offline Preference Data. 2024 abs/2406.09574 CoRR https://doi.org/10.48550/arXiv.2406.09574 db/journals/corr/corr2406.html#abs-2406-09574

Akhil Agnihotri Rahul Jain 0002 Haipeng Luo Average-Constrained Policy Optimization. 2023 abs/2302.00808 CoRR https://doi.org/10.48550/arXiv.2302.00808 db/journals/corr/corr2302.html#abs-2302-00808

Hanjiang Hu Zuxin Liu Sharad Chitlangia Akhil Agnihotri Ding Zhao Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. 2540-2549 2022 CVPR https://doi.org/10.1109/CVPR52688.2022.00258 conf/cvpr/2022 db/conf/cvpr/cvpr2022.html#HuLCAZ22

Sharad Chitlangia Zuxin Liu Akhil Agnihotri Ding Zhao Improving Perception via Sensor Placement: Designing Multi-LiDAR Systems for Autonomous Vehicles. 2021 abs/2105.00373 CoRR https://arxiv.org/abs/2105.00373 db/journals/corr/corr2105.html#abs-2105-00373

Akhil Agnihotri Prathamesh Saraf Kriti Rajesh Bapnad A Convolutional Neural Network Approach Towards Self-Driving Cars. 2019 abs/1909.03854 CoRR http://arxiv.org/abs/1909.03854 db/journals/corr/corr1909.html#abs-1909-03854

Kriti Rajesh Bapnad Sharad Chitlangia Hanjiang Hu Rahul Jain 0002 Zuxin Liu Haipeng Luo Deepak Ramachandran Prathamesh Saraf Sahil Singla 0005 Zheng Wen 0002 Ding Zhao