Robert Givan

4.0k citations
54 papers · 2.3k indexed · 1 hit paper · h-index 21

Robert Givan

51 papers receiving 2.1k citations

Hit Papers

The Complexity of Decentralized Control of Markov Decisio...7342002202620102018200400600

Peers

Robert Givan
Comparison fields: 5 of 93
  • Artificial Intelligence 1.7k
  • Management Science and Operations Research 337
  • Computer Networks and Communications 538
  • Computational Theory and Mathematics 360
  • Software 85
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Steve Hanks United States
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Matthijs T. J. Spaan Netherlands
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Citations per field
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Citations per year

Countries citing papers authored by Robert Givan

Since Specialization
Citations

This map shows the geographic impact of Robert Givan's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Robert Givan with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Robert Givan more than expected).

Fields of papers citing papers by Robert Givan

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Robert Givan. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Robert Givan. The network helps show where Robert Givan may publish in the future.

Co-authorship network

The 24 scholars most cited alongside Robert Givan, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Robert Givan Line = papers co-authored together Robert Givan links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown
#Work
1
Probabilistic planning via determinization in hindsight
200881
2
Using learned policies in heuristic-search planning
200713
3
FF-Replan: a baseline for probabilistic planning
2007155
4
Relational State-Space Feature Learning and Its Applications in Planning.
20071
5
Discovering relational domain features for probabilistic planning
20076
6
Learning heuristic functions from relaxed plans
200624
7
Learning measures of progress for planning domains
200511
8
Simultaneous heuristic search for conjunctive subgoals
20052
9
Learning domain-specific control knowledge from random walks
200438
10
Approximate Policy Iteration with a Policy Language Bias
200350
11 20024
12 200212
13
On-line scheduling via sampling
200043
14
Online Ensemble Learning: An Empirical Study
200016
15
Solving stochastic planning problems with large state and action spaces
199810
16
Model minimization in Markov decision processes
1997108
17
Model minimization, regression, and propositional STRIPS planning
19978
18
Obvious properties of computer programs
19970
19
New Results on Local Inference Relations.
199218
20
Natural Language Based Inference Procedures Applied to Schubert''s Steamroller
199146

About Robert Givan

Robert Givan is a scholar working on Artificial Intelligence, Computer Networks and Communications and Computational Theory and Mathematics, having authored 54 papers that have together received 2.3k indexed citations. Recurring topics across this work include AI-based Problem Solving and Planning (16 papers), Reinforcement Learning in Robotics (13 papers), Network Traffic and Congestion Control (11 papers), Formal Methods in Verification (11 papers), Bayesian Modeling and Causal Inference (9 papers), Logic, Reasoning, and Knowledge (9 papers), Machine Learning and Algorithms (8 papers) and Constraint Satisfaction and Optimization (7 papers). The work is most often cited by research in Artificial Intelligence (1.7k citations), Management Science and Operations Research (337 citations) and Computer Networks and Communications (538 citations). Robert Givan has collaborated with scholars based in United States, Belgium and South Korea. Frequent co-authors include Alan Fern, Shlomo Zilberstein, Daniel S. Bernstein, Neil Immerman, Thomas Dean, Sung‐Wook Yoon, Edwin K. P. Chong, Sonia M. Leach, David McAllester and Matthew Greig. Their work appears in journals such as Artificial Intelligence, Computer Networks, Journal of Artificial Intelligence Research, Queueing Systems and IEEE Transactions on Automatic Control.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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