Daniel Bryce

31 papers A* 11A 1Journal 11Unranked 8
YearRankTypeTitle / Venue / Authors
2023 J jnl
Building an Open Representation for Biological Protocols.
ACM J. Emerg. Technol. Comput. Syst.
Bryan Bartley, Jacob Beal, Miles Rogers, Daniel Bryce, Robert P. Goldman, Benjamin Keller, Peter Lee, Vanessa Biggers, Joshua Nowak, Mark Weston
2016 — conf
A Happening-Based Encoding for Nonlinear PDDL+ Planning.
AAAI Workshop: Planning for Hybrid Systems
Daniel Bryce
2016 — conf
A Hybrid Architecture for Correct-by-Construction Hybrid Planning and Control.
NFM
Robert P. Goldman, Daniel Bryce, Michael J. S. Pelican, David J. Musliner, Kyungmin Bae
2016 — conf
An Architecture for Hybrid Planning and Execution.
AAAI Workshop: Planning for Hybrid Systems
Robert P. Goldman, Daniel Bryce, Michael J. S. Pelican, David J. Musliner, Kyungmin Bae
2016 J jnl
Instrumenting an SMT Solver to Solve Hybrid Network Reachability Problems.
CoRR
Daniel Bryce, Sergiy Bogomolov, Alexander Heinz, Christian Schilling
2016 A* conf
Maintaining Evolving Domain Models.
IJCAI
Daniel Bryce, J. Benton, Michael W. Boldt
2015 A* conf
HACKAR: Helpful Advice for Code Knowledge and Attack Resilience.
AAAI
Ugur Kuter, Mark H. Burstein, J. Benton, Daniel Bryce, Jordan Tyler Thayer, Steve McCoy
2015 A* conf
SMT-Based Nonlinear PDDL+ Planning.
AAAI
Daniel Bryce, Sicun Gao, David J. Musliner, Robert P. Goldman
2014 — conf
Explaining Verifier Traces with Explanation Based Learning.
AAAI Spring Symposia
Daniel Bryce
2014 A* conf
Landmark-Based Plan Distance Measures for Diverse Planning.
ICAPS
Daniel Bryce
2013 — conf
Covering Landmark Interactions for Semantically Diverse Plans.
AAAI (Late-Breaking Developments)
Daniel Bryce, Renée C. Bryce
2012 J jnl
Cost Sensitive Reachability Heuristics for Handling State Uncertainty
CoRR
Daniel Bryce, Subbarao Kambhampati
2012 A* conf
Evaluating Temporal Plans in Incomplete Domains.
AAAI
Daniel Morwood, Daniel Bryce
2012 J jnl
Scaffolding in teaching knowledge representation.
J. Comput. Sci. Coll.
Daniel Bryce
2011 — conf
Interactive Bootstrapped Learning for End-User Programming.
Artificial Intelligence and Smarter Living
Michael Freed, Daniel Bryce, Jiaying Shen, Ciaran O'Reilly
2011 J jnl
Planning Graph Heuristics for Belief Space Search
CoRR
Daniel Bryce, Subbarao Kambhampati, David E. Smith
2011 A* conf
Planning and Acting in Incomplete Domains.
ICAPS
Christopher Weber, Daniel Bryce
2011 J jnl
State agnostic planning graphs: deterministic, non-deterministic, and probabilistic planning.
Artif. Intell.
Daniel Bryce, William Cushing, Subbarao Kambhampati
2011 J jnl
Wumpus World in introductory artificial intelligence.
J. Comput. Sci. Coll.
Daniel Bryce
2010 J jnl
Planning interventions in biological networks.
ACM Trans. Intell. Syst. Technol.
Daniel Bryce, Michael P. Verdicchio, Seungchan Kim
2009 — conf
MABLE: a framework for learning from natural instruction.
AAMAS (1)
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran O'Reilly
2008 J jnl
Sequential Monte Carlo in reachability heuristics for probabilistic planning.
Artif. Intell.
Daniel Bryce, Subbarao Kambhampati, David E. Smith
2007 J jnl
A Tutorial on Planning Graph Based Reachability Heuristics.
AI Mag.
Daniel Bryce, Subbarao Kambhampati
2007 A* conf
Planning for Gene Regulatory Network Intervention.
IJCAI
Daniel Bryce, Seungchan Kim
2006 J jnl
Planning Graph Heuristics for Belief Space Search.
J. Artif. Intell. Res.
Daniel Bryce, Subbarao Kambhampati, David E. Smith
2006 A* conf
Sequential Monte Carlo in Probabilistic Planning Reachability Heuristics.
ICAPS
Daniel Bryce, Subbarao Kambhampati, David E. Smith
2005 A conf
Cost Sensitive Reachability Heuristics for Handling State Uncertainty.
UAI
Daniel Bryce, Subbarao Kambhampati
2005 A* conf
State Agnostic Planning Graphs and the Application to Belief-Space Planning.
AAAI
William Cushing, Daniel Bryce
2004 A* conf
Heuristic Guidance Measures for Conformant Planning.
ICAPS
Daniel Bryce, Subbarao Kambhampati
1986 A* conf
SNAP: A Graphics-based Schema Manager.
ICDE
Daniel Bryce, Richard Hull
1985 — conf
A Conceptual Basis for Graphics-Based Data Management.
FODO
Daniel Bryce, Richard Hull