Skip to content

Home Search Authors Pakistan News Saved

SciRah

SciRah does not host or store research papers. Results come live from free, official scholarly APIs, and every paper links back to its original source.

Data sources

OpenAlex
Semantic Scholar
Crossref
CORE
arXiv
PubMed

Privacy policy Terms of service

Rodrigo Toro Icarte · SciRah

Researcher profile · Semantic Scholar

Rodrigo Toro Icarte

Share profile

Rodrigo Toro Icarte — researcher profile on SciRah

h-index: 17
Works: 38
Citations: 1,851

Most-cited papers

Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018International Conference on Machine Learning381 citations
Semantic Scholar
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2020Journal of Artificial Intelligence Research362 citations Open access
Semantic Scholar
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano +1 more
2019International Joint Conference on Artificial Intelligence272 citations Open access
Semantic Scholar
Teaching Multiple Tasks to an RL Agent using LTL
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018Adaptive Agents and Multi-Agent Systems141 citations
Semantic Scholar
Learning Reward Machines for Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano +2 more
2019Neural Information Processing Systems140 citations
Semantic Scholar
LTL2Action: Generalizing LTL Instructions for Multi-Task RL
Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021International Conference on Machine Learning122 citations
Semantic Scholar
Symbolic Plans as High-Level Instructions for Reinforcement Learning
León Illanes, Xi Yan, Rodrigo Toro Icarte, Sheila A. McIlraith
2020International Conference on Automated Planning and Scheduling110 citations Open access
Semantic Scholar
Training Binarized Neural Networks Using MIP and CP
Rodrigo Toro Icarte, León Illanes, Margarita P. Castro, A. Ciré +2 more
2019International Conference on Principles and Practice of Constraint Programming32 citations Open access
Semantic Scholar
Interpretable Sequence Classification via Discrete Optimization
Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2020AAAI Conference on Artificial Intelligence31 citations Open access
Semantic Scholar
Learning Belief Representations for Partially Observable Deep RL
Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte +1 more
2023International Conference on Machine Learning28 citations
Semantic Scholar
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, A. Soto
2017International Joint Conference on Artificial Intelligence25 citations Open access
Semantic Scholar
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, R. Valenzano +2 more
2021arXiv.org24 citations
Semantic Scholar
AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning
Maayan Shvo, Zhi-Ming Hu, Rodrigo Toro Icarte, I. Mohomed +2 more
2021Canadian Conference on AI21 citations Open access
Semantic Scholar
Advice-Based Exploration in Model-Based Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
2018Canadian AI20 citations
Semantic Scholar
Reward Machines for Deep RL in Noisy and Uncertain Environments
Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor +2 more
2024Neural Information Processing Systems19 citations
Semantic Scholar
Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022Adaptive Agents and Multi-Agent Systems19 citations
Semantic Scholar
Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines
Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen +2 more
2022arXiv.org17 citations Open access
Semantic Scholar
The act of remembering: a study in partially observable reinforcement learning
Rodrigo Toro Icarte, R. Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen +2 more
2020arXiv.org17 citations
Semantic Scholar
Symbolic Planning and Model-Free Reinforcement Learning: Training Taskable Agents
León Illanes, Xi Yan, Rodrigo Toro Icarte
201914 citations
Semantic Scholar
Learning reward machines: A study in partially observable reinforcement learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Margarita P. Castro +2 more
2023Artificial Intelligence10 citations Open access
Semantic Scholar
Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior
Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2023arXiv.org8 citations Open access
Semantic Scholar
Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks
Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2022arXiv.org6 citations Open access
Semantic Scholar
Using Advice in Model-Based Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen, R. Valenzano, Sheila A. McIlraith
20176 citations
Semantic Scholar
Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2024arXiv.org5 citations
Semantic Scholar
Rethinking Layer Relevance in Large Language Models Beyond Cosine Similarity
C. Hinostroza, Rodrigo Toro Icarte, Christ Devia, Andres Carvallo De Ferari +3 more
2026arXiv.org4 citations
Semantic Scholar
Seeing to Generalize: How Visual Data Corrects Binding Shortcuts
Nicolas Buzeta, Felipe del Rio, C. Hinostroza, Denis Parra +2 more
2026arXiv.org4 citations
Semantic Scholar
Reward Machines
Rodrigo Toro Icarte
20224 citations
Semantic Scholar
Searching for Markovian Subproblems to Address Partially Observable Reinforcement Learning
Rodrigo Toro Icarte, Toryn Q. Klassen
20194 citations
Semantic Scholar
On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation
´Alvaro Labarca, Denis Parra, Rodrigo Toro Icarte
2024International Conference on Machine Learning3 citations
Semantic Scholar
Be Considerate: Objectives, Side Effects, and Deciding How to Act
P. A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2021arXiv.org3 citations
Semantic Scholar
Data Distributional Properties As Inductive Bias for Systematic Generalization
Felipe del R'io, Alain Raymond-S'aez, D. Florea, Rodrigo Toro Icarte +3 more
2025Computer Vision and Pattern Recognition2 citations
Semantic Scholar
Exploring Long-Horizon Reasoning with Deep RL in Combinatorially Hard Tasks
Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
20222 citations
Semantic Scholar
Leveraging Symbolic Planning Models in Hierarchical Reinforcement Learning
León Illanes, Xi Yan, Rodrigo Toro Icarte, Sheila A. McIlraith
20191 citations
Semantic Scholar
Active Learning of Symbolic Automata over Rational Numbers
Sebastian Hagedorn Gaete, Martín Muñoz, Cristian Riveros, Rodrigo Toro Icarte
2026AAAI Conference on Artificial Intelligence0 citations Open access
Semantic Scholar
DD-suite: A cross-platform package to build Decision Diagrams for optimization purposes
Antonia F. Blanco, Margarita P. Castro, Rodrigo Toro Icarte
20260 citations
Semantic Scholar
Active Learning of Symbolic Automata Over Rational Numbers
Sebastián Hagedorn, Martín Muñoz, Cristian Riveros, Rodrigo Toro Icarte
2025arXiv.org0 citations Open access
Semantic Scholar
Extending NGU to Multi-Agent RL: A Preliminary Study
J. Hernández, D. Fern'andez, M. Cifuentes, Denis Parra +1 more
2025arXiv.org0 citations
Semantic Scholar
COMMONSENSE ONTOLOGY IMPROVE PERFORMANCE OF LEARNING-BASED IMAGE RETRIEVAL ?
Rodrigo Toro Icarte
20150 citations
Semantic Scholar

Frequent co-authors

Invite them to SciRah by sharing their profile.

Sheila A. McIlraith×25
Invite
Sheila A. McIlraith — researcher profile on SciRah
Toryn Q. Klassen×17
Invite
Toryn Q. Klassen — researcher profile on SciRah
R. Valenzano×9
Invite
R. Valenzano — researcher profile on SciRah
Andrew C. Li×7
Invite
Andrew C. Li — researcher profile on SciRah

Margarita P. Castro

×5

Invite

Margarita P. Castro — researcher profile on SciRah

Pashootan Vaezipoor×4

Invite

Pashootan Vaezipoor — researcher profile on SciRah

León Illanes×4

Invite

León Illanes — researcher profile on SciRah

Invite

Denis Parra — researcher profile on SciRah

Ethan Waldie×3

Invite

Ethan Waldie — researcher profile on SciRah

Invite

Xi Yan — researcher profile on SciRah

P. A. Alamdari×3

Invite

P. A. Alamdari — researcher profile on SciRah

Invite

Maayan Shvo — researcher profile on SciRah