Craig Boutilier
About
In The Last Decade
Craig Boutilier
181 papers receiving 7.4k citations
Hit Papers
Peers
Comparison fields: 5 of 140
- Artificial Intelligence 5.3k
- Management Science and Operations Research 2.4k
- Computer Networks and Communications 1.8k
- Computational Theory and Mathematics 1.2k
- Economics and Econometrics 890
Countries citing papers authored by Craig Boutilier
This map shows the geographic impact of Craig Boutilier'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 Craig Boutilier with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Craig Boutilier more than expected).
Fields of papers citing papers by Craig Boutilier
This network shows the impact of papers produced by Craig Boutilier. 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 Craig Boutilier. The network helps show where Craig Boutilier may publish in the future.
Co-authorship network of co-authors of Craig Boutilier
This figure shows the co-authorship network connecting the top 25 collaborators of Craig Boutilier. A scholar is included among the top collaborators of Craig Boutilier based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Craig Boutilier. Craig Boutilier is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 2 | |
| 2 | CAQL: Continuous Action Q-Learning | 2 |
| 3 | Non-delusional Q-learning and value-iteration | 10 |
| 4 | 14 | |
| 5 | 106 | |
| 6 | 3 | |
| 7 | 16 | |
| 8 | Coalitional bargaining with agent type uncertainty | 13 |
| 9 | Approximate solution techniques for factored first-order MDPs | 11 |
| 10 | 40 | |
| 11 | 28 | |
| 12 | Implicit Imitation in Multiagent Reinforcement Learning | 33 |
| 13 | Solving very large weakly coupled Markov decision processes | 126 |
| 14 | Structured solution methods for non-Markovian decision processes | 21 |
| 15 | Prioritized goal decomposition of Markov decision processes: toward a synthesis of classical and decision theoretic planning | 33 |
| 16 | Rewarding behaviors | 42 |
| 17 | Generalized Update: Belief Change in Dynamic Settings | 18 |
| 18 | 4 | |
| 19 | Revision sequences and nested conditionals | 93 |
| 20 | Inaccessible worlds and irrelevance preliminary report | 18 |
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.