Pieter Abbeel
About
In The Last Decade
Pieter Abbeel
238 papers receiving 19.3k citations
Hit Papers
Peers
Comparison fields: 5 of 184
- Artificial Intelligence 8.7k
- Control and Systems Engineering 8.3k
- Computer Vision and Pattern Recognition 6.8k
- Biomedical Engineering 3.3k
- Aerospace Engineering 2.6k
Countries citing papers authored by Pieter Abbeel
This map shows the geographic impact of Pieter Abbeel'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 Pieter Abbeel with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pieter Abbeel more than expected).
Fields of papers citing papers by Pieter Abbeel
This network shows the impact of papers produced by Pieter Abbeel. 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 Pieter Abbeel. The network helps show where Pieter Abbeel may publish in the future.
Co-authorship network of co-authors of Pieter Abbeel
This figure shows the co-authorship network connecting the top 25 collaborators of Pieter Abbeel. A scholar is included among the top collaborators of Pieter Abbeel 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 Pieter Abbeel. Pieter Abbeel 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 | 0 | |
| 3 | 19 | |
| 4 | 8 | |
| 5 | 1 | |
| 6 | Locally Masked Convolution for Autoregressive Models | 1 |
| 7 | Visual Imitation Made Easy | 1 |
| 8 | 10 | |
| 9 | The limits and potentials of deep learning for robotics breakdown → | 309 |
| 10 | Meta-Reinforcement Learning of Structured Exploration Strategies | 14 |
| 11 | Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow | 23 |
| 12 | Variance Reduction for Policy Gradient with Action-Dependent Factorized Baselines | 5 |
| 13 | One-Shot Imitation Learning | 116 |
| 14 | Learning Visual Servoing with Deep Features and Fitted Q-Iteration | 15 |
| 15 | One-Shot Visual Imitation Learning via Meta-Learning | 40 |
| 16 | Third-Person Imitation Learning | 12 |
| 17 | Guided cost learning: deep inverse optimal control via policy optimization | 115 |
| 18 | Learning Neural Network Policies with Guided Policy Search under Unknown Dynamics | 174 |
| 19 | On a Connection between Importance Sampling and the Likelihood Ratio Policy Gradient | 18 |
| 20 | EfficientL 1 regularized logistic regression | 198 |
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.