Richard Anthony Valenzano

According to our database, Richard Anthony Valenzano authored at least 25 papers between 2010 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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., October, 2023

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

Sourena Khanzadeh, Samad Alias Nyein Chan, Richard Valenzano, Manar H. Alalfi

CoRR, 2023

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

2021

Type-WA*: Using Exploration in Bounded Suboptimal Planning.

Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

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

2019

Probably bounded suboptimal heuristic search.

Roni Stern, Gal Dreiman, Richard Anthony Valenzano

Artif. Intell., 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

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 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

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

2018

On polygon numbers of circle graphs and distance hereditary graphs.

Lorna Stewart, Richard Anthony Valenzano

Discret. Appl. Math., 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

Proceedings of the 35th International Conference on Machine Learning, 2018

Teaching Multiple Tasks to an RL Agent using LTL.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Advice-Based Exploration in Model-Based Reinforcement Learning.

Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith

Proceedings of the Advances in Artificial Intelligence, 2018

2017

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

Richard Anthony Valenzano, Danniel Sihui Yang

CoRR, 2017

An Analysis and Enhancement of the Gap Heuristic for the Pancake Puzzle.

Richard Anthony Valenzano, Danniel Sihui Yang

Proceedings of the Tenth International Symposium on Combinatorial Search, 2017

2016

Searching with a Corrupted Heuristic.

Levi H. S. Lelis, Richard Anthony Valenzano, Gabriel L. Nazar, Roni Stern

Proceedings of the Ninth Annual Symposium on Combinatorial Search, 2016

Using Metric Temporal Logic to Specify Scheduling Problems.

Roy Luo, Richard Anthony Valenzano, Yi Li, J. Christopher Beck, Sheila A. McIlraith

Proceedings of the Principles of Knowledge Representation and Reasoning: Proceedings of the Fifteenth International Conference, 2016

On the Completeness of Best-First Search Variants That Use Random Exploration.

Richard Anthony Valenzano, Fan Xie

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration.

Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Fan Xie

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search.

Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer

Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013

Evaluating state-space abstractions in extensive-form games.

Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Better Time Constrained Search via Randomization and Postprocessing.

Fan Xie, Richard Anthony Valenzano, Martin Müller

Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

Using Alternative Suboptimality Bounds in Heuristic Search.

Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern, Nathan R. Sturtevant

Proceedings of the Twenty-Third International Conference on Automated Planning and Scheduling, 2013

2012

Alternative Forms of Bounded Suboptimal Search.

Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern

Proceedings of the Fifth Annual Symposium on Combinatorial Search, 2012

ArvandHerd: Parallel Planning with a Portfolio.

Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant

Proceedings of the ECAI 2012, 2012

2010

Simultaneously Searching with Multiple Settings: An Alternative to Parameter Tuning for Suboptimal Single-Agent Search Algorithms.

Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Karen Buro, Akihiro Kishimoto

Proceedings of the 20th International Conference on Automated Planning and Scheduling, 2010