Prashant Trivedi

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https://prashantrivedi.github.io 

Research Scholar                                                                            

Industrial Engineering and Operations Research
Indian Institute of Technology, Bombay

Supervisor  Prof. N. Hemachandra and Prof. J. Venkateswaran

Research Interests 

Theoretical and practical aspects of machine learning including multi-agent reinforcement learning, multi-agent decision making, weak supervision in machine learning, cooperative game theory, and Markov decision processes.

Academic Background

• M.Sc.-Ph.D. in Operations Research (2016- present),  Industrial Engineering and Operations Research, IIT Bombay, Mumbai
• B.Sc (Hons.) Mathematics (2013-2016) Banaras Hindu University, Varanasi

Publications

• Prashant Trivedi, N. Hemachandra. Local Differential Privacy Preserving Mechanisms for Multi-Agent Reinforcement Learning. Under Review. [Paper Link] 
• Prashant Trivedi, N. Hemachandra. Multi-Agent Congestion Cost Minimization With Linear Function Approximation. In 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023.
• Prashant Trivedi, N. Hemachandra. Multi-agent Natural Actor-critic Reinforcement Learning Algorithms. Special Issue on Multi-agent Dynamic Decision Making and Learning, Dynamic Games and Applications, 2022. 
• Prashant Trivedi, N. Hemachandra. Noise-robust core-stable coalitions of hedonic games. In Asian Conference on Machine Learning (ACML) 2022. Dec 12-14, 2022, Hyderabad, India. 
• Sandhya Tripathi, N. Hemachandra, Prashant Trivedi. Interpretable feature subset selection: A Shapley value based approach in IEEE 2020 International Conference on Big Data (Big Data).

Poster and Paper Presentations

• ``Multi-Agent Congestion Cost Minimization with Linear Function Approximatios", presented at the 26th International Conference on Artificial Intelligence and Statistics (AISTATS) 2023, held at Valencia Spain, 25-27th April 2023.
• ``Noise Robust Core-stable Colaitions of Hedonic Games", presented at the 14th Asian Conference on Machine Learning (ACML) 2022, held at Hyderabad, 12th - 14th Dec 2022. 
• ``Learning Noisy Hedonic Games", presented (virtually) at GAMES - the 6th World Congress of Game Theory Society 2020, Budapest Hungary 19th - 23rd July 2021. 
• ``On features interactions identified by Shapley values of binary classification game", accepted poster at twentieth ACM conference on Economics and Computation (ACM EC '19) Phoenix, Arizona.
• Presented a poster titled "On the role of Shapley value in Binary classification games" at IEOR Day 2019, IIT Bombay.
• Presented a paper on "Multichoice Cooperative Games: A New Approach" at an International workshop on game theory held in September 2018 at Dibrugarh University, Dibrugarh Assam.
• Presented a poster on "Reduced Shapley value for Multichoice Cooperative Games" at IEOR Day 2017, IIT Bombay.

Invited Talks

Multi-agent Natural Actor-critic Reinforcement Learning Algorithms at Department of Computer Science and Automation, IISc Bangalore (online)

Paper presentation on ``Learning Noisy Hedonic Games" at GAMES 2020, the 6th World Congress of the Game Theory Society, Online.

Internships/Workshops/Summer School

• Attended and presented a poster at "Online Asian Machine Learning School (OAMLS) 2022", from Dec 8-10,and Dec 15-16, 2022
• Attended "Online Asian Machine Learning School (OAMLS) 2021", from November 8-19, 2021
• Participated in the program "Advance in Applied Probability II (Online)" conducted by ICTS Bangalore from Jan 04 to Jan 08, 2021
• Research intern at IBM, Banglore from May 27 to August 24, 2020
• Attended 'The Indo-French Center for Applied Mathematics (IFCAM) summer school on Mathematics for Data Science' at IISC, Bangalore from July 15-27, 2019.
• Attended Game theory GURUKULAM 2017 and 2018 conducted by Prof. TES Raghavan (Emeritus Professor Department of Mathematics, Statistics, and Computer Science University of Illinois at Chicago) at his village Pulavanur, Panruti Chennai.

Teaching and TAship

• IE 612: Introduction to the Financial Engineering. Jann 2023 to Present with Prof. N. Rangaraj
• IE 503: Operations Analaysis. July 2022 to Dec 2022 with Prof. N. Rangaraj
• IE 683: Topics in Learning Theory. January 2022 to May 2022 with Prof. N. Hemachandra
• IE 718: Networks, Games and Algorithms. July 2021 to Dec 2021 with Prof. N. Hemachandra
• IE 683: Topics in Learning Theory. August 2020 to May 2021 with Prof. N. Hemachandra
• Naval Operations Analysis. Jan 2020 to June 2021 with Prof. N. Hemachandra
• IE 708: Markov Decision Processes. January 2020 to May 2020 with Prof. N. Hemachandra
• IE 605: Engineering statistics. July 2019 to December 2019 with Prof. N. Hemachandra
• Web TA at IEOR Department IIT Bombay from January 2018 to July 2019.
• IE 616: Decision analysis and game theory. January to May 2019 with Prof. V. Kavitha
• IE 615: Data analytics in Operations Research. July to December 2018 with Prof. N. Hemachandra

Academic Services

Reveiwer: AISTATS 2023

Extra Activities

• Received the certificate of appreciation for remarkable contributions in various department activities in the year 2018-19
• Designed the departmental annual magazine ``OPTIMYSTIC" 2018 issue.
• Maintenance secretary, 2017-2018 Tansa house, IIT Bombay 

Contact

Email Id: trivedi.prashant15@iitb.ac.in