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

Advice-Based Exploration in Model-Based Reinforcement Learning. - Rodrigo Toro Icarte; Toryn Q. Klassen; Richard Anthony Valenzano; Sheila A. McIlraith (Canadian AI, 2018)

Teaching Multiple Tasks to an RL Agent using LTL. - Rodrigo Toro Icarte; Toryn Q. Klassen; Richard Anthony Valenzano; Sheila A. McIlraith (AAMAS, 2018)

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 (ICML, 2018)

Training Binarized Neural Networks Using MIP and CP. - Rodrigo Toro Icarte; León Illanes; Margarita P. Castro; André A. Ciré; Sheila A. McIlraith; J. Christopher Beck (CP, 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 (IJCAI, 2019)

Learning Reward Machines for Partially Observable Reinforcement Learning. - Rodrigo Toro Icarte; Ethan Waldie; Toryn Q. Klassen; Richard Anthony Valenzano; Margarita P. Castro; Sheila A. McIlraith (NeurIPS, 2019)

Symbolic Plans as High-Level Instructions for Reinforcement Learning. - León Illanes; Xi Yan 003; Rodrigo Toro Icarte; Sheila A. McIlraith (ICAPS, 2020)

The act of remembering: a study in partially observable reinforcement learning. - Rodrigo Toro Icarte; Richard Anthony Valenzano; Toryn Q. Klassen; Phillip J. K. Christoffersen; Amir-massoud Farahmand; Sheila A. McIlraith (CoRR, 2020)

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

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 (Canadian AI, 2021)

LTL2Action: Generalizing LTL Instructions for Multi-Task RL. - Pashootan Vaezipoor; Andrew C. Li; Rodrigo Toro Icarte; Sheila A. McIlraith (ICML, 2021)

Be Considerate: Objectives, Side Effects, and Deciding How to Act. - Parand Alizadeh Alamdari; Toryn Q. Klassen; Rodrigo Toro Icarte; Sheila A. McIlraith (CoRR, 2021)

Be Considerate: Avoiding Negative Side Effects in Reinforcement Learning. - Parand Alizadeh Alamdari; Toryn Q. Klassen; Rodrigo Toro Icarte; Sheila A. McIlraith (AAMAS, 2022)

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

Challenges to Solving Combinatorially Hard Long-Horizon Deep RL Tasks. - Andrew C. Li; Pashootan Vaezipoor; Rodrigo Toro Icarte; Sheila A. McIlraith (CoRR, 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 (CoRR, 2022)

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. - Rodrigo Toro Icarte; Toryn Q. Klassen; Richard Anthony Valenzano; Sheila A. McIlraith (J. Artif. Intell. Res., 2022)

Reward Machines. - Rodrigo Toro Icarte (2022)

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

Learning Symbolic Representations for Reinforcement Learning of Non-Markovian Behavior. - Phillip J. K. Christoffersen; Andrew C. Li; Rodrigo Toro Icarte; Sheila A. McIlraith (CoRR, 2023)

Learning reward machines: A study in partially observable reinforcement learning. - Rodrigo Toro Icarte; Toryn Q. Klassen; Richard Valenzano; Margarita P. Castro; Ethan Waldie; Sheila A. McIlraith (Artif. Intell., 2023)

On the Unexpected Effectiveness of Reinforcement Learning for Sequential Recommendation. - Alvaro Labarca; Denis Parra; Rodrigo Toro Icarte (ICML, 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 (NeurIPS, 2024)

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

Data Distributional Properties As Inductive Bias for Systematic Generalization. - Felipe del Río; Alain Raymond-Saez; Daniel Florea; Rodrigo Toro Icarte; Julio Hurtado; Cristian Buc Calderon; Alvaro Soto (CVPR, 2025)