Amrit S. Bedi

Publication Activity (10 Years)

Years Active: 2016-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Top Venues

Publications

Peihong Yu, Manav Mishra, Alec Koppel, Carl E. Busart, Priya Narayan, Dinesh Manocha, Amrit S. Bedi, Pratap Tokekar
Beyond Joint Demonstrations: Personalized Expert Guidance for Efficient Multi-Agent Reinforcement Learning. CoRR (2024)
Mucong Ding, Souradip Chakraborty, Vibhu Agrawal, Zora Che, Alec Koppel, Mengdi Wang, Amrit S. Bedi, Furong Huang
SAIL: Self-Improving Efficient Online Alignment of Large Language Models. CoRR (2024)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Huazheng Wang, Dinesh Manocha, Mengdi Wang, Furong Huang
PARL: A Unified Framework for Policy Alignment in Reinforcement Learning from Human Feedback. ICLR (2024)
Xiyang Wu, Rohan Chandra, Tianrui Guan, Amrit S. Bedi, Dinesh Manocha
Intent-Aware Planning in Heterogeneous Traffic via Distributed Multi-Agent Reinforcement Learning. CoRL (2023)
Soumya Suvra Ghosal, Souradip Chakraborty, Jonas Geiping, Furong Huang, Dinesh Manocha, Amrit S. Bedi
A Survey on the Possibilities & Impossibilities of AI-generated Text Detection. Trans. Mach. Learn. Res. 2023 (2023)
Wesley A. Suttle, Amrit S. Bedi, Bhrij Patel, Brian M. Sadler, Alec Koppel, Dinesh Manocha
Beyond Exponentially Fast Mixing in Average-Reward Reinforcement Learning via Multi-Level Monte Carlo Actor-Critic. ICML (2023)
Marco Bornstein, Tahseen Rabbani, Evan Wang, Amrit S. Bedi, Furong Huang
SWIFT: Rapid Decentralized Federated Learning via Wait-Free Model Communication. ICLR (2023)
Souradip Chakraborty, Amrit S. Bedi, Alec Koppel, Mengdi Wang, Furong Huang, Dinesh Manocha
STEERING : Stein Information Directed Exploration for Model-Based Reinforcement Learning. ICML (2023)
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Ketan Rajawat, Mehdi Bennis, Vaneet Aggarwal
FedNew: A Communication-Efficient and Privacy-Preserving Newton-Type Method for Federated Learning. CoRR (2022)
Kushal Chakrabarti, Amrit S. Bedi, Fikadu T. Dagefu, Jeffrey N. Twigg, Nikhil Chopra
Fast Distributed Beamforming without Receiver Feedback. IEEECONF (2022)
Kasun Weerakoon, Souradip Chakraborty, Nare Karapetyan, Adarsh Jagan Sathyamoorthy, Amrit S. Bedi, Dinesh Manocha
HTRON: Efficient Outdoor Navigation with Sparse Rewards via Heavy Tailed Adaptive Reinforce Algorithm. CoRL (2022)
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. CoRR (2021)
Anis Elgabli, Chaouki Ben Issaid, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
Energy-Efficient and Federated Meta-Learning via Projected Stochastic Gradient Ascent. GLOBECOM (2021)
Alec Koppel, Amrit S. Bedi, Vikram Krishnamurthy
A Dynamical Systems Perspective on Online Bayesian Nonparametric Estimators with Adaptive Hyperparameters. ICASSP (2021)
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. ICASSP (2020)
Deepak S. Kalhan, Amrit S. Bedi, Alec Koppel, Ketan Rajawat, Abhishek K. Gupta, Adrish Banerjee
Projection Free Dynamic Online Learning. ICASSP (2020)
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
Communication Efficient Framework for Decentralized Machine Learning. CISS (2020)
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. J. Mach. Learn. Res. 21 (2020)
Alec Koppel, Amrit S. Bedi, Ketan Rajawat
Controlling the Bias-Variance Tradeoff via Coherent Risk for Robust Learning with Kernels. ACC (2019)
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
GADMM: Fast and Communication Efficient Framework for Distributed Machine Learning. CoRR (2019)
Anis Elgabli, Jihong Park, Amrit S. Bedi, Mehdi Bennis, Vaneet Aggarwal
Q-GADMM: Quantized Group ADMM for Communication Efficient Decentralized Machine Learning. CoRR (2019)
Amrit S. Bedi, Paban Sarma, Ketan Rajawat
Tracking Moving Agents via Inexact Online Gradient Descent Algorithm. IEEE J. Sel. Top. Signal Process. 12 (1) (2018)
Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat
On Socially Optimal Traffic Flow in the Presence of Random Users. CoRR (2018)
Amrit S. Bedi, Ketan Rajawat, Marceau Coupechoux
An Online Approach to D2D Trajectory Utility Maximization Problem. INFOCOM (2018)
Amrit S. Bedi, Ketan Rajawat
Asynchronous Incremental Stochastic Dual Descent Algorithm for Network Resource Allocation. IEEE Trans. Signal Process. 66 (9) (2018)
Anant Chopra, Deepak S. Kalhan, Amrit S. Bedi, Abhishek K. Gupta, Ketan Rajawat
On Socially Optimal Traffic Flow in the Presence of Random Users. ANTS (2018)
Amrit S. Bedi, Ketan Rajawat
Asynchronous resource allocation in distributed heterogeneous networks. ICC (2017)
Amrit S. Bedi, Md. Waseem Ahmad, Ketan Rajawat, Sandeep Anand
Optimal utilization of storage systems under real-time pricing. ICC Workshops (2017)
Amrit S. Bedi, Javed Akhtar, Ketan Rajawat, Aditya K. Jagannatham
BER-Optimized Precoders for OFDM Systems With Insufficient Cyclic Prefix. IEEE Commun. Lett. 20 (2) (2016)
Javed Akhtar, Amrit S. Bedi, Ketan Rajawat, Aditya K. Jagannatham
BER-Optimized Robust Precoder Design for MIMO-OFDM Systems with Insufficient CP. GLOBECOM (2016)