◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Herbie Bradley

UK AI Safety Institute

4 papers hereh-index 102.9k citations16 works total

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

author position
  • middle author3

Across the 3 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG2
  • cs.CY1
  • cs.NE1
affiliations
  • UK AI Safety Institute
  • University of Cambridge
HomepageORCID 0000-0001-5390-1257

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.LG2025

Results of the NeurIPS 2023 Neural MMO Competition on Multi-task Reinforcement Learning

Joseph Suárez, Kyoung Whan Choe, David Bloomin +22

We present the results of the NeurIPS 2023 Neural MMO Competition, which attracted over 200 participants and submissions. Participants trained goal-conditional policies that genera…

cs.LG2025

Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?

Rylan Schaeffer, Hailey Schoelkopf, Brando Miranda +6

Predicting changes from scaling advanced AI systems is a desirable property for engineers, economists, governments and industry alike, and, while a well-established literature exis…

cs.CY2024

Visibility into AI Agents

Alan Chan, Carson Ezell, Max Kaufmann +9

Increased delegation of commercial, scientific, governmental, and personal activities to AI agents -- systems capable of pursuing complex goals with limited supervision -- may exac…

cs.NE2024

Language Model Crossover: Variation through Few-Shot Prompting

Elliot Meyerson, Mark J. Nelson, Herbie Bradley +4

This paper pursues the insight that language models naturally enable an intelligent variation operator similar in spirit to evolutionary crossover. In particular, language models o…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.