Richard Anthony Valenzano

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 19

Top Topics

Metric Temporal Logic

Reward Function

Reinforcement Learning

Top Venues

Publications

Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian, Richard Anthony Valenzano
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data. CoRR (2024)
Daniel Platnick, Richard Anthony Valenzano
Expected Runtime Comparisons Between Breadth-First Search and Constant-Depth Restarting Random Walks. CoRR (2024)
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. J. Artif. Intell. Res. 73 (2022)
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
Learning Reward Machines: A Study in Partially Observable Reinforcement Learning. CoRR (2021)
Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith
Type-WA*: Using Exploration in Bounded Suboptimal Planning. IJCAI (2021)
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. CoRR (2020)
Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith
The act of remembering: a study in partially observable reinforcement learning. CoRR (2020)
Rodrigo Toro Icarte, Ethan Waldie, Toryn Q. Klassen, Richard Anthony Valenzano, Margarita P. Castro, Sheila A. McIlraith
Learning Reward Machines for Partially Observable Reinforcement Learning. NeurIPS (2019)
Roni Stern, Gal Dreiman, Richard Anthony Valenzano
Probably bounded suboptimal heuristic search. Artif. Intell. 267 (2019)
Alberto Camacho, Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
LTL and Beyond: Formal Languages for Reward Function Specification in Reinforcement Learning. IJCAI (2019)
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
Advice-Based Exploration in Model-Based Reinforcement Learning. Canadian Conference on AI (2018)
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
Using Reward Machines for High-Level Task Specification and Decomposition in Reinforcement Learning. ICML (2018)
Lorna Stewart, Richard Anthony Valenzano
On polygon numbers of circle graphs and distance hereditary graphs. Discret. Appl. Math. 248 (2018)
Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith
Teaching Multiple Tasks to an RL Agent using LTL. AAMAS (2018)
Richard Anthony Valenzano, Danniel Sihui Yang
An Analysis and Enhancement of the Gap Heuristic for the Pancake Puzzle. SOCS (2017)
Richard Anthony Valenzano, Danniel Sihui Yang
A Formal Characterization of the Local Search Topology of the Gap Heuristic. CoRR (2017)
Levi H. S. Lelis, Richard Anthony Valenzano, Gabriel L. Nazar, Roni Stern
Searching with a Corrupted Heuristic. SOCS (2016)
Roy Luo, Richard Anthony Valenzano, Yi Li, J. Christopher Beck, Sheila A. McIlraith
Using Metric Temporal Logic to Specify Scheduling Problems. KR (2016)
Richard Anthony Valenzano, Fan Xie
On the Completeness of Best-First Search Variants That Use Random Exploration. AAAI (2016)
Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Fan Xie
A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration. ICAPS (2014)
Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer
Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search. AAAI (2014)
Lorna Stewart, Richard Anthony Valenzano
On polygon numbers of circle graphs and distance hereditary graphs. CoRR (2014)
Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling
Evaluating state-space abstractions in extensive-form games. AAMAS (2013)
Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern, Nathan R. Sturtevant
Using Alternative Suboptimality Bounds in Heuristic Search. ICAPS (2013)
Fan Xie, Richard Anthony Valenzano, Martin Müller
Better Time Constrained Search via Randomization and Postprocessing. ICAPS (2013)
Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant
ArvandHerd: Parallel Planning with a Portfolio. ECAI (2012)
Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern
Alternative Forms of Bounded Suboptimal Search. SOCS (2012)
Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Karen Buro, Akihiro Kishimoto
Simultaneously Searching with Multiple Settings: An Alternative to Parameter Tuning for Suboptimal Single-Agent Search Algorithms. ICAPS (2010)
Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Karen Buro, Akihiro Kishimoto
Simultaneously Searching with Multiple Settings: An Alternative to Parameter Tuning for Suboptimal Single-Agent Search Algorithms. SOCS (2010)