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ORCIDRichard Anthony Valenzano
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2020 – today
- 2024
[c20]Dawson Tomasz, Richard Valenzano:
The Bench Transition System and Stochastic Exploration. SOCS 2024: 143-151- [i8]Daniel Platnick, Sourena Khanzadeh, Alireza Sadeghian, Richard Anthony Valenzano:
GANsemble for Small and Imbalanced Data Sets: A Baseline for Synthetic Microplastics Data. CoRR abs/2404.07356 (2024) - [i7]Daniel Platnick, Richard Anthony Valenzano:
Expected Runtime Comparisons Between Breadth-First Search and Constant-Depth Restarting Random Walks. CoRR abs/2406.16697 (2024) - 2023
- [j4]Rodrigo Toro Icarte
, Toryn Q. Klassen, Richard Valenzano, Margarita P. Castro, Ethan Waldie, Sheila A. McIlraith:
Learning reward machines: A study in partially observable reinforcement learning. Artif. Intell. 323: 103989 (2023) - [i6]Sourena Khanzadeh, Samad Alias Nyein Chan, Richard Valenzano, Manar H. Alalfi:
Opti Code Pro: A Heuristic Search-based Approach to Code Refactoring. CoRR abs/2305.07594 (2023) - 2022
- [j3]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: 173-208 (2022) - 2021
- [c19]Eldan Cohen, Richard Anthony Valenzano, Sheila A. McIlraith:
Type-WA*: Using Exploration in Bounded Suboptimal Planning. IJCAI 2021: 4047-4053 - [i5]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 abs/2112.09477 (2021) - 2020
- [i4]Rodrigo Toro Icarte, Richard Anthony Valenzano, Toryn Q. Klassen, Phillip J. K. Christoffersen, Amir-massoud Farahmand, Sheila A. McIlraith:
The act of remembering: a study in partially observable reinforcement learning. CoRR abs/2010.01753 (2020) - [i3]Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning. CoRR abs/2010.03950 (2020)
2010 – 2019
- 2019
- [j2]Roni Stern, Gal Dreiman, Richard Anthony Valenzano:
Probably bounded suboptimal heuristic search. Artif. Intell. 267: 39-57 (2019) - [c18]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: 6065-6073 - [c17]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: 15497-15508 - 2018
- [j1]Lorna Stewart, Richard Anthony Valenzano:
On polygon numbers of circle graphs and distance hereditary graphs. Discret. Appl. Math. 248: 3-17 (2018) - [c16]Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
Advice-Based Exploration in Model-Based Reinforcement Learning. Canadian AI 2018: 72-83 - [c15]Rodrigo Toro Icarte, Toryn Q. Klassen, Richard Anthony Valenzano, Sheila A. McIlraith:
Teaching Multiple Tasks to an RL Agent using LTL. AAMAS 2018: 452-461 - [c14]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: 2112-2121 - 2017
- [c13]Richard Anthony Valenzano, Danniel Sihui Yang:
An Analysis and Enhancement of the Gap Heuristic for the Pancake Puzzle. SOCS 2017: 109-117 - [i2]Richard Anthony Valenzano, Danniel Sihui Yang:
A Formal Characterization of the Local Search Topology of the Gap Heuristic. CoRR abs/1705.04665 (2017) - 2016
- [c12]Richard Anthony Valenzano, Fan Xie:
On the Completeness of Best-First Search Variants That Use Random Exploration. AAAI 2016: 784-790 - [c11]Roy Luo, Richard Anthony Valenzano, Yi Li, J. Christopher Beck, Sheila A. McIlraith:
Using Metric Temporal Logic to Specify Scheduling Problems. KR 2016: 581-584 - [c10]Levi H. S. Lelis, Richard Anthony Valenzano, Gabriel L. Nazar, Roni Stern:
Searching with a Corrupted Heuristic. SOCS 2016: 63-71 - 2014
- [c9]Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer:
Worst-Case Solution Quality Analysis When Not Re-Expanding Nodes in Best-First Search. AAAI 2014: 885-892 - [c8]Richard Anthony Valenzano, Nathan R. Sturtevant, Jonathan Schaeffer, Fan Xie:
A Comparison of Knowledge-Based GBFS Enhancements and Knowledge-Free Exploration. ICAPS 2014 - [i1]Lorna Stewart, Richard Anthony Valenzano:
On polygon numbers of circle graphs and distance hereditary graphs. CoRR abs/1401.1541 (2014) - 2013
- [c7]Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern, Nathan R. Sturtevant:
Using Alternative Suboptimality Bounds in Heuristic Search. ICAPS 2013 - [c6]Fan Xie, Richard Anthony Valenzano, Martin Müller:
Better Time Constrained Search via Randomization and Postprocessing. ICAPS 2013 - [c5]Michael Johanson, Neil Burch, Richard Anthony Valenzano, Michael Bowling:
Evaluating state-space abstractions in extensive-form games. AAMAS 2013: 271-278 - 2012
- [c4]Richard Anthony Valenzano, Hootan Nakhost, Martin Müller, Jonathan Schaeffer, Nathan R. Sturtevant:
ArvandHerd: Parallel Planning with a Portfolio. ECAI 2012: 786-791 - [c3]Richard Anthony Valenzano, Shahab Jabbari Arfaee, Jordan Tyler Thayer, Roni Stern:
Alternative Forms of Bounded Suboptimal Search. SOCS 2012: 175-176 - 2010
- [c2]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: 177-184 - [c1]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: 157-158
Coauthor Index
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last updated on 2024-09-21 02:38 CEST by the dblp team
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