Rodrigo Toro Icarte
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
6
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | AAAI | Active Learning of Symbolic Automata over Rational Numbers. | Sebastin Hagedorn Gaete, Martn Muoz, Cristian Riveros, Rodrigo Toro Icarte |
| 2025 | CVPR | Data Distributional Properties As Inductive Bias for Systematic Generalization. | Felipe del Ro, Alain Raymond-Saez, Daniel Florea, Rodrigo Toro Icarte, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto |
| 2024 | ICML | On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation. | Alvaro Labarca, Denis Parra, Rodrigo Toro Icarte |
| 2023 | ICML | Learning Belief Representations for Partially Observable Deep RL. | Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith |
| 2022 | IJCAI | Real-Time Heuristic Search with LTLf Goals. | Jaime Middleton, Rodrigo Toro Icarte, Jorge A. Baier |
| 2021 | AAAI | Interpretable Sequence Classification via Discrete Optimization. | Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith |
| 2021 | AI | AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. | Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith |
| 2021 | ICML | LTL2Action: Generalizing LTL Instructions for Multi-Task RL. | Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith |
| 2019 | CP | Training Binarized Neural Networks Using MIP and CP. | Rodrigo Toro Icarte, Len Illanes, Margarita P. Castro, Andr A. Cir, Sheila A. McIlraith, J. Christopher Beck |
| 2019 | IJCAI | LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. | Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith |
| 2018 | AI | Advice-Based Exploration in Model-Based Reinforcement Learning. | Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith |
| 2018 | ICML | Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning. | Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith |
| 2017 | IJCAI | How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. | Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto |