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Mridul Agarwal

6 papers hereh-index 161.3k citations41 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4
  • middle author2

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.LG4
  • cs.IT1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20192021
most citedMulti-Agent Multi-Armed Bandits with Limited Communication

16 citations · 17 across the 4 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2021

Communication Efficient Parallel Reinforcement Learning

Mridul Agarwal, Bhargav Ganguly, Vaneet Aggarwal

We consider the problem where M agents interact with M identical and independent environments with S states and A actions using reinforcement learning for T rounds. The a…

cs.LG2021★ 16 cited

Multi-Agent Multi-Armed Bandits with Limited Communication

Mridul Agarwal, Vaneet Aggarwal, Kamyar Azizzadenesheli

We consider the problem where N agents collaboratively interact with an instance of a stochastic K arm bandit problem for K≫N. The agents aim to simultaneously minimize t…

cs.LG2020★ 1 cited

Blind Decision Making: Reinforcement Learning with Delayed Observations

Mridul Agarwal, Vaneet Aggarwal

Reinforcement learning typically assumes that the state update from the previous actions happens instantaneously, and thus can be used for making future decisions. However, this ma…

cs.LG2019

Reinforcement Learning for Mean Field Game

Mridul Agarwal, Vaneet Aggarwal, Arnob Ghosh +1

Stochastic games provide a framework for interactions among multiple agents and enable a myriad of applications. In these games, agents decide on actions simultaneously, the state…

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