Bedi, Amrit

20 publications

TMLR 2024 Beyond Text: Utilizing Vocal Cues to Improve Decision Making in LLMs for Robot Navigation Tasks Xingpeng Sun, Haoming Meng, Souradip Chakraborty, Amrit Bedi, Aniket Bera

ICML 2024 Closing the Gap: Achieving Global Convergence (Last Iterate) of Actor-Critic Under Markovian Sampling with Neural Network Parametrization Mudit Gaur, Amrit Bedi, Di Wang, Vaneet Aggarwal

ICML 2024 MaxMin-RLHF: Alignment with Diverse Human Preferences Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Dinesh Manocha, Furong Huang, Amrit Bedi, Mengdi Wang

ICMLW 2024 MaxMin-RLHF: Towards Equitable Alignment of Large Language Models with Diverse Human Preferences Souradip Chakraborty, Jiahao Qiu, Hui Yuan, Alec Koppel, Furong Huang, Dinesh Manocha, Amrit Bedi, Mengdi Wang

ICLR 2024 PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback Souradip Chakraborty, Amrit Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang

ICML 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICMLW 2024 PIPER: Primitive-Informed Preference-Based Hierarchical Reinforcement Learning via Hindsight Relabeling Utsav Singh, Wesley A. Suttle, Brian M. Sadler, Vinay P. Namboodiri, Amrit Bedi

ICML 2024 Position: On the Possibilities of AI-Generated Text Detection Souradip Chakraborty, Amrit Bedi, Sicheng Zhu, Bang An, Dinesh Manocha, Furong Huang

ICMLW 2024 SAIL: Self-Improving Efficient Online Alignment of Large Language Models Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit Bedi, Furong Huang

ICML 2024 Towards Global Optimality for Practical Average Reward Reinforcement Learning Without Mixing Time Oracles Bhrij Patel, Wesley A Suttle, Alec Koppel, Vaneet Aggarwal, Brian M. Sadler, Dinesh Manocha, Amrit Bedi

TMLR 2023 A Survey on the Possibilities & Impossibilities of AI-Generated Text Detection Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit Bedi

ICML 2023 Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic Wesley A Suttle, Amrit Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha

CoRL 2023 Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit Bedi, Dinesh Manocha

ICMLW 2023 Principal-Driven Reward Design and Agent Policy Alignment via Bilevel-RL Souradip Chakraborty, Amrit Bedi, Alec Koppel, Furong Huang, Mengdi Wang

NeurIPSW 2023 RealFM: A Realistic Mechanism to Incentivize Data Contribution and Device Participation Marco Bornstein, Amrit Bedi, Anit Kumar Sahu, Furqan Khan, Furong Huang

ICML 2023 STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning Souradip Chakraborty, Amrit Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha

ICLR 2023 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein, Tahseen Rabbani, Evan Z Wang, Amrit Bedi, Furong Huang

CoRL 2022 HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit Bedi, Dinesh Manocha

NeurIPSW 2022 Posterior Coreset Construction with Kernelized Stein Discrepancy for Model-Based Reinforcement Learning Souradip Chakraborty, Amrit Bedi, Alec Koppel, Pratap Tokekar, Furong Huang, Dinesh Manocha

NeurIPSW 2022 SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication Marco Bornstein, Tahseen Rabbani, Evan Z Wang, Amrit Bedi, Furong Huang