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Mridul Agarwal

15 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 author9
  • middle author5
  • last author1

Across the 15 of 15 papers where every author was matched, so the position is known.

fields
  • cs.LG13
  • cs.IT1
  • math.OC1

identity via Semantic Scholar / OpenAlex

activity
20182022
most citedMulti-Agent Multi-Armed Bandits with Limited Communication

16 citations · 17 across the 5 of their papers we have counts for

collaborators
Showing 2019 · cs.LGShow all

2 papers · 2 filters

cs.LG2019

Reinforcement Learning for Joint Optimization of Multiple Rewards

Mridul Agarwal, Vaneet Aggarwal

Finding optimal policies which maximize long term rewards of Markov Decision Processes requires the use of dynamic programming and backward induction to solve the Bellman optimalit…

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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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.