Richard Anthony Valenzano

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Papers19 papers

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Reward Machines: Exploiting Reward Function Structure in Reinforcement Learning

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

Bibtex

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, pp.6065-6073, (2019)

Cited by13EIBibtex

Probably bounded suboptimal heuristic search

Roni Stern, Gal Dreiman,Richard Anthony Valenzano

Artificial Intelligence, (2019): 39-57

Cited by2EIBibtex

Advice-Based Exploration in Model-Based Reinforcement Learning

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

Canadian Conference on AI, pp.72-83, (2018)

Cited by3EIBibtex

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, pp.2112-2121, (2018)

Cited by29EIBibtex

On polygon numbers of circle graphs and distance hereditary graphs

Lorna Stewart,Richard Anthony Valenzano

Discrete Applied Mathematics, (2018): 3-17

Cited by2EIBibtex

Teaching Multiple Tasks to an RL Agent using LTL

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

AAMAS, pp.452-461, (2018)

Cited by30EIBibtex

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

Richard Anthony Valenzano, Danniel Sihui Yang

arXiv: Artificial Intelligence, (2017)

Cited by1EIBibtex

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

Richard Anthony Valenzano, Danniel Sihui Yang

SOCS, pp.109-118, (2017)

Cited by1EIBibtex

Using Metric Temporal Logic to Specify Scheduling Problems

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

KR, pp.581-584, (2016)

Cited by3EIBibtex

Searching with a Corrupted Heuristic

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

SOCS, pp.63-71, (2016)

EIBibtex

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

Richard Anthony Valenzano,Fan Xie 0001

AAAI, pp.784-790, (2016)

Cited by7EIBibtex

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

Richard Anthony Valenzano,Nathan R. Sturtevant,Jonathan Schaeffer

AAAI, pp.885-892, (2014)

Cited by5EIBibtex

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

Richard Anthony Valenzano,Nathan R. Sturtevant,Jonathan Schaeffer,Fan Xie 0001

ICAPS, (2014)

Cited by30EIBibtex

Better Time Constrained Search via Randomization and Postprocessing

Fan Xie,Richard Anthony Valenzano,Martin Müller

ICAPS, (2013)

Cited by10EIBibtex

Using Alternative Suboptimality Bounds in Heuristic Search

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

ICAPS, (2013)

Cited by12EIBibtex

Alternative Forms of Bounded Suboptimal Search

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

SOCS, (2012)

Cited by1EIBibtex

ArvandHerd: Parallel Planning with a Portfolio

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

ECAI, pp.786-791, (2012)

Cited by43EIBibtex

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

ICAPS, pp.177-184, (2010)

Cited by55EIBibtex

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