activity
20142024
most citedReward Machines: Exploiting Reward Function Structure in Reinforcement Learning

188 citations · 193 across the 6 of their papers we have counts for

collaborators

7 papers

cs.LG2024

GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data

Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian +1

Microplastic particle ingestion or inhalation by humans is a problem of growing concern. Unfortunately, current research methods that use machine learning to understand their poten…

cs.SE2023

Opti Code Pro: A Heuristic Search-based Approach to Code Refactoring

Sourena Khanzadeh, Samad Alias Nyein Chan, Richard Valenzano +1

This paper presents an approach that evaluates best-first search methods to code refactoring. The motivation for code refactoring could be to improve the design, structure, or impl…

cs.LG2021★ 1 cited

Learning Reward Machines: A Study in Partially Observable Reinforcement Learning

Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen +3

Reinforcement learning (RL) is a central problem in artificial intelligence. This problem consists of defining artificial agents that can learn optimal behaviour by interacting wit…

cs.LG2020★ 3 cited

The act of remembering: a study in partially observable reinforcement learning

Rodrigo Toro Icarte, Richard Valenzano, Toryn Q. Klassen +3

Reinforcement Learning (RL) agents typically learn memoryless policies---policies that only consider the last observation when selecting actions. Learning memoryless policies is ef…

cs.LG2020★ 188 cited

Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Valenzano +1

Reinforcement learning (RL) methods usually treat reward functions as black boxes. As such, these methods must extensively interact with the environment in order to discover reward…

cs.AI2017★ 1 cited

A Formal Characterization of the Local Search Topology of the Gap Heuristic

Richard Anthony Valenzano, Danniel Sihui Yang

The pancake puzzle is a classic optimization problem that has become a standard benchmark for heuristic search algorithms. In this paper, we provide full proofs regarding the local…

cs.DM2014

On polygon numbers of circle graphs and distance hereditary graphs

Lorna Stewart, Richard Anthony Valenzano

Circle graphs are intersection graphs of chords in a circle and -polygon graphs are intersection graphs of chords in a convex -sided polygon where each chord has its endpoint…