Pablo Samuel Castro
- Artificial Intelligence top 5%
- Transportation top 2%
- Building and Construction top 5%
- Signal Processing top 5%
- Automotive Engineering top 5%
- Co-authors
- Shijian LiDaqing ZhangChao ChenGang PanMarc G. BellemareLin SunZonghui WangSubhodeep Moitra
- Topics
- Reinforcement Learning in Robotics (12 papers)Bayesian Modeling and Causal Inference (5 papers)Human Mobility and Location-Based Analysis (4 papers)
- Partner nations
- CanadaUnited StatesChina
In The Last Decade
Pablo Samuel Castro
22 papers receiving 647 citations
Peers
Comparison fields: 5 of 69
- Artificial Intelligence 278
- Transportation 248
- Building and Construction 138
- Signal Processing 132
- Automotive Engineering 127
Countries citing papers authored by Pablo Samuel Castro
This map shows the geographic impact of Pablo Samuel Castro'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 Pablo Samuel Castro with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Pablo Samuel Castro more than expected).
Fields of papers citing papers by Pablo Samuel Castro
This network shows the impact of papers produced by Pablo Samuel Castro. 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 Pablo Samuel Castro. The network helps show where Pablo Samuel Castro may publish in the future.
Co-authorship network of co-authors of Pablo Samuel Castro
This figure shows the co-authorship network connecting the top 25 collaborators of Pablo Samuel Castro. A scholar is included among the top collaborators of Pablo Samuel Castro 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 Pablo Samuel Castro. Pablo Samuel Castro 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 | 1 | |
| 4 | Revisiting Rainbow: Promoting more insightful and inclusive deep reinforcement learning research | 3 |
| 5 | Metrics and continuity in reinforcement learning | 3 |
| 6 | Lifting the veil on hyper-parameters for value-baseddeep reinforcement learning | 1 |
| 7 | 5 | |
| 8 | Rigging the Lottery: Making All Tickets Winners | 19 |
| 9 | 164 | |
| 10 | 1 | |
| 11 | A Geometric Perspective on Optimal Representations for Reinforcement Learning | 8 |
| 12 | 2 | |
| 13 | Real-time Detection of Anomalous Taxi Trajectories from GPS Traces | 0 |
| 14 | 201 | |
| 15 | 32 | |
| 16 | 6 | |
| 17 | Using bisimulation for policy transfer in MDPs (Extended Abstract) | 1 |
| 18 | Equivalence relations in fully and partially observable Markov decision processes | 11 |
| 19 | Using linear programming for Bayesian exploration in Markov decision processes | 11 |
| 20 | Methods for computing state similarity in Markov decision processes | 24 |
About Pablo Samuel Castro
Pablo Samuel Castro is a scholar working on Structural Biology, Transportation and Artificial Intelligence, having authored 25 papers that have together received 672 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (12 papers), Bayesian Modeling and Causal Inference (5 papers) and Human Mobility and Location-Based Analysis (4 papers). The work is most often cited by research in Transportation (248 citations), Signal Processing (132 citations) and Automotive Engineering (127 citations). Pablo Samuel Castro has collaborated with scholars based in Canada, United States and China. Frequent co-authors include Shijian Li, Daqing Zhang, Chao Chen, Gang Pan, Marc G. Bellemare, Chao Chen, Lin Sun, Zonghui Wang, Subhodeep Moitra and Jun Gong. Their work appears in journals such as Nature, ACM Computing Surveys and IEEE Transactions on Intelligent Transportation Systems.
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.