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Paniz Behboudian

1 paper hereh-index 217 citations3 works total

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

author position
  • first author1

Across the 1 of 1 paper where every author was matched, so the position is known.

fields
  • cs.LG1

identity via Semantic Scholar / OpenAlex

most citedUseful Policy Invariant Shaping from Arbitrary Advice

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.LG2020★ 3 cited

Useful Policy Invariant Shaping from Arbitrary Advice

Paniz Behboudian, Yash Satsangi, Matthew E. Taylor +2

Reinforcement learning is a powerful learning paradigm in which agents can learn to maximize sparse and delayed reward signals. Although RL has had many impressive successes in com…

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