◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Geoffrey J. Gordon

58 papers hereh-index 5920.7k citations182 works total

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

author position
  • sole author2
  • first author1
  • middle author20
  • last author33

Across the 56 of 58 papers where every author was matched, so the position is known.

fields
  • cs.LG35
  • stat.ML8
  • physics.chem-ph5
  • cs.AI4
  • cs.RO3
  • cs.CL1
same name
  • Geoffrey J. Gordon — 2 papers, h 1
  • Geoffrey J. Gordon — 2 papers, h 1
  • Geoffrey J. Gordon — 1 paper
  • Geoffrey J. Gordon — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20092021
most citedAnytime Point-Based Approximations for Large POMDPs

375 citations · 1.9k across the 50 of their papers we have counts for

collaborators
Showing cs.AIShow all

4 papers · 1 filter

cs.AI2012★ 59 cited

Distributed Planning in Hierarchical Factored MDPs

Carlos E. Guestrin, Geoffrey Gordon

We present a principled and efficient planning algorithm for collaborative multiagent dynamical systems. All computation, during both the planning and the execution phases, is dist…

cs.AI2012★ 153 cited

Decentralized Sensor Fusion With Distributed Particle Filters

Matthew Rosencrantz, Geoffrey Gordon, Sebastian Thrun

This paper presents a scalable Bayesian technique for decentralized state estimation from multiple platforms in dynamic environments. As has long been recognized, centralized archi…

cs.AI2011★ 375 cited

Anytime Point-Based Approximations for Large POMDPs

J. Pineau, G. Gordon, S. Thrun

The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact so…

cs.AI2011★ 255 cited

Finding Approximate POMDP solutions Through Belief Compression

N. Roy, G. Gordon, S. Thrun

Standard value function approaches to finding policies for Partially Observable Markov Decision Processes (POMDPs) are generally considered to be intractable for large models. The…

◍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.