Rodrigo Toro Icarte

38 papers A* 13A 3Journal 19Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	Active Learning of Symbolic Automata over Rational Numbers. AAAI Sebastián Hagedorn Gaete, Martin Muñoz, Cristian Riveros, Rodrigo Toro Icarte
2026	J	`jnl`	Seeing to Generalize: How Visual Data Corrects Binding Shortcuts. CoRR Nicolas Buzeta, Felipe del Río, Cristian Hinostroza, Denis Parra, Hans Lobel, Rodrigo Toro Icarte
2025	J	`jnl`	Active Learning of Symbolic Automata Over Rational Numbers. CoRR Sebastián Hagedorn, Martin Muñoz, Cristian Riveros, Rodrigo Toro Icarte
2025	A*	`conf`	Data Distributional Properties As Inductive Bias for Systematic Generalization. CVPR Felipe del Río, Alain Raymond-Saez, Daniel Florea, Rodrigo Toro Icarte, Julio Hurtado, Cristian Buc Calderon, Alvaro Soto
2025	J	`jnl`	Data Distributional Properties As Inductive Bias for Systematic Generalization. CoRR Felipe del Río, Alain Raymond-Saez, Daniel Florea, Rodrigo Toro Icarte, Julio Hurtado, Cristian Buc Calderon, Álvaro Soto
2025	J	`jnl`	Extending NGU to Multi-Agent RL: A Preliminary Study. CoRR Juan Hernandez, Diego Fernández, Manuel Cifuentes, Denis Parra, Rodrigo Toro Icarte
2024	J	`jnl`	Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI. CoRR Parand A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2024	A*	`conf`	On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation. ICML Alvaro Labarca, Denis Parra, Rodrigo Toro Icarte
2024	A*	`conf`	Reward Machines for Deep RL in Noisy and Uncertain Environments. NeurIPS Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2024	J	`jnl`	Reward Machines for Deep RL in Noisy and Uncertain Environments. CoRR Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	A*	`conf`	Learning Belief Representations for Partially Observable Deep RL. ICML Andrew Wang, Andrew C. Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	J	`jnl`	Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. CoRR Phillip J. K. Christoffersen, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2023	J	`jnl`	Learning reward machines: A study in partially observable reinforcement learning. Artif. Intell. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith
2022	A	`conf`	Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning. AAMAS Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	J	`jnl`	Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks. CoRR Andrew C. Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	J	`jnl`	Noisy Symbolic Abstractions for Deep RL: A case study with Reward Machines. CoRR Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2022	A*	`conf`	Real-Time Heuristic Search with LTLf Goals. IJCAI Jaime Middleton, Rodrigo Toro Icarte, Jorge A. Baier
2022	—	`—`	Reward Machines. Rodrigo Toro Icarte
2022	J	`jnl`	Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. J. Artif. Intell. Res. Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2021	—	`conf`	AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. Canadian AI Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith
2021	J	`jnl`	AppBuddy: Learning to Accomplish Tasks in Mobile Apps via Reinforcement Learning. CoRR Maayan Shvo, Zhiming Hu, Rodrigo Toro Icarte, Iqbal Mohomed, Allan D. Jepson, Sheila A. McIlraith
2021	J	`jnl`	Be Considerate: Objectives, Side Effects, and Deciding How to Act. CoRR Parand Alizadeh Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	A*	`conf`	Interpretable Sequence Classification via Discrete Optimization. AAAI Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	A*	`conf`	LTL2Action: Generalizing LTL Instructions for Multi-Task RL. ICML Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	J	`jnl`	LTL2Action: Generalizing LTL Instructions for Multi-Task RL. CoRR Pashootan Vaezipoor, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2021	J	`jnl`	Learning Reward Machines: A Study in Partially Observable Reinforcement Learning. CoRR Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2020	J	`jnl`	Interpretable Sequence Classification via Discrete Optimization. CoRR Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith
2020	J	`jnl`	Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. CoRR Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2020	A*	`conf`	Symbolic Plans as High-Level Instructions for Reinforcement Learning. ICAPS León Illanes, Xi Yan, Rodrigo Toro Icarte, Sheila A. McIlraith
2020	J	`jnl`	The act of remembering: a study in partially observable reinforcement learning. CoRR Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
2019	A*	`conf`	LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. IJCAI Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2019	A*	`conf`	Learning Reward Machines for Partially Observable Reinforcement Learning. NeurIPS Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
2019	A	`conf`	Training Binarized Neural Networks Using MIP and CP. CP Rodrigo Toro Icarte, León Illanes, Margarita P. Castro, André A. Ciré, Sheila A. McIlraith, J. Christopher Beck
2018	—	`conf`	Advice-Based Exploration in Model-Based Reinforcement Learning. Canadian AI Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2018	A	`conf`	Teaching Multiple Tasks to an RL Agent using LTL. AAMAS Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2018	A*	`conf`	Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning. ICML Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
2017	A*	`conf`	How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. IJCAI Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto
2017	J	`jnl`	How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval. CoRR Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto