Mukul Gagrani

Publication Activity (10 Years)

Years Active: 2011-2024
Publications (10 Years): 24

Top Topics

Markov Decision Process

Reinforcement Learning

Control Problems

Top Venues

Publications

Mukul Gagrani, Raghavv Goel, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott
On Speculative Decoding for Multimodal Large Language Models. CoRR (2024)
Raghavv Goel, Mukul Gagrani, Wonseok Jeon, Junyoung Park, Mingu Lee, Christopher Lott
Direct Alignment of Draft Model for Speculative Decoding with Chat-Fine-Tuned LLMs. CoRR (2024)
Wonseok Jeon, Mukul Gagrani, Raghavv Goel, Junyoung Park, Mingu Lee, Christopher Lott
Recursive Speculative Decoding: Accelerating LLM Inference via Sampling Without Replacement. CoRR (2024)
Wonseok Jeon, Mukul Gagrani, Burak Bartan, Weiliang Will Zeng, Harris Teague, Piero Zappi, Christopher Lott
Neural DAG Scheduling via One-Shot Priority Sampling. ICLR (2023)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
A modified Thompson sampling-based learning algorithm for unknown linear systems. CDC (2022)
Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Roberto Bondesan, Herke van Hoof, Christopher Lott, Weiliang Will Zeng, Piero Zappi
Neural Topological Ordering for Computation Graphs. NeurIPS (2022)
Mukul Gagrani, Corrado Rainone, Yang Yang, Harris Teague, Wonseok Jeon, Herke Van Hoof, Weiliang Will Zeng, Piero Zappi, Christopher Lott, Roberto Bondesan
Neural Topological Ordering for Computation Graphs. CoRR (2022)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems. CoRR (2021)
Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar
Worst-Case Guarantees for Remote Estimation of an Uncertain Source. IEEE Trans. Autom. Control. 66 (4) (2021)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Thompson sampling for linear quadratic mean-field teams. CDC (2021)
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar, Yi Ouyang
Thompson sampling for linear quadratic mean-field teams. CoRR (2020)
Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra
Optimal Scheduling Strategy for Networked Estimation With Energy Harvesting. IEEE Trans. Control. Netw. Syst. 7 (4) (2020)
Mukul Gagrani, Ashutosh Nayyar
Weakly Coupled Constrained Markov Decision Processes in Borel Spaces. ACC (2020)
Seyed Mohammad Asghari, Mukul Gagrani, Ashutosh Nayyar
Regret Analysis for Learning in a Multi-Agent Linear-Quadratic Control Problem. ACC (2020)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Posterior Sampling-Based Reinforcement Learning for Control of Unknown Linear Systems. IEEE Trans. Autom. Control. 65 (8) (2020)
Marcos M. Vasconcelos, Mukul Gagrani, Ashutosh Nayyar, Urbashi Mitra
Optimal scheduling strategy for networked estimation with energy harvesting. CoRR (2019)
Mukul Gagrani, Yi Ouyang, Mohammad Rasouli, Ashutosh Nayyar
Worst-case Guarantees for Remote Estimation of an Uncertain Source. CoRR (2019)
Mukul Gagrani, Marcos M. Vasconcelos, Ashutosh Nayyar
Scheduling and Estimation Strategies in a Sequential Networked Estimation Problem. Allerton (2018)
Mukul Gagrani, Ashutosh Nayyar
Thompson Sampling for some decentralized control problems. CDC (2018)
Mukul Gagrani, Ashutosh Nayyar
Decentralized minimax control problems with partial history sharing. ACC (2017)
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. CoRR (2017)
Yi Ouyang, Mukul Gagrani, Ashutosh Nayyar, Rahul Jain
Learning Unknown Markov Decision Processes: A Thompson Sampling Approach. NIPS (2017)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Control of unknown linear systems with Thompson sampling. Allerton (2017)
Yi Ouyang, Mukul Gagrani, Rahul Jain
Learning-based Control of Unknown Linear Systems with Thompson Sampling. CoRR (2017)
Mukul Gagrani, A. K. Chaturvedi
Transmit and Receive Antenna Pairing in MIMO Relay Networks. IEEE Commun. Lett. 18 (11) (2014)
Mukul Gagrani, Pranay Sharma, Satish G. Iyengar, V. Sriram Siddhardh Nadendla, Aditya Vempaty, Hao Chen, Pramod K. Varshney
On noise-enhanced distributed inference in the presence of Byzantines. Allerton (2011)