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researcher

John C. Raisbeck

4 papers hereh-index 15 citations4 works total

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

author position
  • first author2
  • middle author2

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.AI1
  • cs.NE1

identity via Semantic Scholar / OpenAlex

activity
20192025
most citedEvolution Strategies Converges to Finite Differences

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

collaborators
Showing cs.LGShow all

2 papers · 1 filter

cs.LG2025

AltNet: Addressing the Plasticity-Stability Dilemma in Reinforcement Learning

Mansi Maheshwari, John C. Raisbeck, Bruno Castro da Silva

Artificial neural networks have shown remarkable success in supervised learning when trained on a single task using a fixed dataset. However, when neural networks are trained on a…

cs.LG2022

A Scalable Finite Difference Method for Deep Reinforcement Learning

Matthew Allen, John Raisbeck, Hakho Lee

Several low-bandwidth distributable black-box optimization algorithms in the family of finite differences such as Evolution Strategies have recently been shown to perform nearly as…

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