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Prashank Kadam

2 papers here

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author position
  • first author1
  • middle author1

Across the 2 of 2 papers where every author was matched, so the position is known.

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  • cs.AI2

identity via Semantic Scholar / OpenAlex

most citedFirst-Order Problem Solving through Neural MCTS based Reinforcement Learning

5 citations · 5 across the 1 of their papers we have counts for

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2 papers · 1 filter

cs.AI2021

Dual Monte Carlo Tree Search

Prashank Kadam, Ruiyang Xu, Karl Lieberherr

AlphaZero, using a combination of Deep Neural Networks and Monte Carlo Tree Search (MCTS), has successfully trained reinforcement learning agents in a tabula-rasa way. The neural M…

cs.AI2021★ 5 cited

First-Order Problem Solving through Neural MCTS based Reinforcement Learning

Ruiyang Xu, Prashank Kadam, Karl Lieberherr

The formal semantics of an interpreted first-order logic (FOL) statement can be given in Tarskian Semantics or a basically equivalent Game Semantics. The latter maps the statement…

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