Douglas Aberdeen
- Artificial Intelligence top 10%
- Computer Networks and Communications
- Computational Theory and Mathematics top 10%
- Management Science and Operations Research top 10%
- Computer Vision and Pattern Recognition
- Co-authors
- Olivier BuffetJonathan BaxterSylvie ThiébauxLin ZhangJin YuNicol N. SchraudolphRobert D. EdwardsXinhua Zhang
- Topics
- Reinforcement Learning in Robotics (10 papers)AI-based Problem Solving and Planning (8 papers)Parallel Computing and Optimization Techniques (3 papers)
- Journals
- Artificial IntelligenceConcurrency and Computation Practice and ExperienceANU Open Research (Australian National University)
- Partner nations
- AustraliaFranceSwitzerland
In The Last Decade
Douglas Aberdeen
14 papers receiving 208 citations
Peers
Comparison fields: 5 of 45
- Artificial Intelligence 196
- Computer Networks and Communications 48
- Computational Theory and Mathematics 44
- Management Science and Operations Research 39
- Computer Vision and Pattern Recognition 29
Countries citing papers authored by Douglas Aberdeen
This map shows the geographic impact of Douglas Aberdeen'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 Douglas Aberdeen with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Douglas Aberdeen more than expected).
Fields of papers citing papers by Douglas Aberdeen
This network shows the impact of papers produced by Douglas Aberdeen. 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 Douglas Aberdeen. The network helps show where Douglas Aberdeen may publish in the future.
Co-authorship network of co-authors of Douglas Aberdeen
This figure shows the co-authorship network connecting the top 25 collaborators of Douglas Aberdeen. A scholar is included among the top collaborators of Douglas Aberdeen 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 Douglas Aberdeen. Douglas Aberdeen is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 25 | |
| 2 | FF+FPG: guiding a policy-gradient planner | 13 |
| 3 | Policy-gradients for PSRs and POMDPs | 4 |
| 4 | Concurrent probabilistic temporal planning with policy-gradients | 9 |
| 5 | 9 | |
| 6 | Policy-gradient for robust planning | 1 |
| 7 | The factored policy gradient planner | 4 |
| 8 | Simulation methods for uncertain decision-theoretic planning | 0 |
| 9 | Robust planning with (L)RTDP | 13 |
| 10 | Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation | 18 |
| 11 | Prottle: a probabilistic temporal planner | 33 |
| 12 | Policy-Gradient Methods for Planning | 10 |
| 13 | Decision-theoretic military operations planning | 45 |
| 14 | Scalable Internal-State Policy-Gradient Methods for POMDPs | 42 |
| 15 | 15 | |
| 16 | General Matrix-Matrix Multiplication Using SIMD Features of the PIII (Research Note) | 1 |
| 17 | 8 |
About Douglas Aberdeen
Douglas Aberdeen is a scholar working on Software, Artificial Intelligence and Hardware and Architecture, having authored 17 papers that have together received 250 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (10 papers), AI-based Problem Solving and Planning (8 papers) and Parallel Computing and Optimization Techniques (3 papers). The work is most often cited by research in Artificial Intelligence (196 citations), Management Science and Operations Research (39 citations) and Software (11 citations). Douglas Aberdeen has collaborated with scholars based in Australia, France and Switzerland. Frequent co-authors include Olivier Buffet, Jonathan Baxter, Sylvie Thiébaux, Lin Zhang, Jin Yu, Nicol N. Schraudolph, Robert D. Edwards, Xinhua Zhang and S. V. N. Vishwanathan. Their work appears in journals such as Artificial Intelligence, Concurrency and Computation Practice and Experience and ANU Open Research (Australian National University).
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.