Icarte, Rodrigo Toro

15 publications

CVPR 2025 Data Distributional Properties as Inductive Bias for Systematic Generalization Felipe del Rio, Alain Raymond-Saez, Daniel Florea, Rodrigo Toro Icarte, Julio Hurtado, Cristian B. Calderon, Alvaro Soto

NeurIPSW 2024 Being Considerate as a Pathway Towards Pluralistic Alignment for Agentic AI Parand A. Alamdari, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

ICML 2024 On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation Álvaro Labarca Silva, Denis Parra, Rodrigo Toro Icarte

NeurIPS 2024 Reward Machines for Deep RL in Noisy and Uncertain Environments Andrew C. Li, Zizhao Chen, Toryn Q. Klassen, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

ICML 2023 Learning Belief Representations for Partially Observable Deep RL Andrew Wang, Andrew C Li, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. Mcilraith

ICMLW 2022 Exploring Long-Horizon Reasoning with Deep RL in Combinatorially Hard Tasks Andrew C Li, Pashootan Vaezipoor, Rodrigo Toro Icarte, Sheila A. McIlraith

NeurIPSW 2022 Noisy Symbolic Abstractions for Deep RL: A Case Study with Reward Machines Andrew C. Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

NeurIPSW 2022 Noisy Symbolic Abstractions for Deep RL: A Case Study with Reward Machines Andrew C Li, Zizhao Chen, Pashootan Vaezipoor, Toryn Q. Klassen, Rodrigo Toro Icarte, Sheila A. McIlraith

IJCAI 2022 Real-Time Heuristic Search with LTLf Goals Jaime Middleton, Rodrigo Toro Icarte, Jorge A. Baier

JAIR 2022 Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

AAAI 2021 Interpretable Sequence Classification via Discrete Optimization Maayan Shvo, Andrew C. Li, Rodrigo Toro Icarte, Sheila A. McIlraith

IJCAI 2019 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

NeurIPS 2019 Learning Reward Machines for Partially Observable Reinforcement Learning Rodrigo Toro Icarte, Ethan Waldie, Toryn Klassen, Rick Valenzano, Margarita Castro, Sheila McIlraith

ICML 2018 Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning Rodrigo Toro Icarte, Toryn Klassen, Richard Valenzano, Sheila McIlraith

IJCAI 2017 How a General-Purpose Commonsense Ontology Can Improve Performance of Learning-Based Image Retrieval Rodrigo Toro Icarte, Jorge A. Baier, Cristian Ruz, Alvaro Soto