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Matthew Crosby
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2020 – today
- 2023
- [i5]Konstantinos Voudouris, Ibrahim Alhas, Wout Schellaert, Matthew Crosby, Joel Holmes, John Burden, Niharika Chaubey, Niall Donnelly, Matishalin Patel, Marta Halina, José Hernández-Orallo, Lucy G. Cheke:
Animal-AI 3: What's New & Why You Should Care. CoRR abs/2312.11414 (2023) - 2022
- [j6]Ludovico Mitchener
, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-symbolic Hierarchical Reinforcement Learning Framework. Mach. Learn. 111(4): 1523-1549 (2022) - [c11]Anna Strasser, Matthew Crosby, Eric Schwitzgebel:
Limits and risks of GPT-3 applications. CogSci 2022 - [c10]Ludovico Mitchener, David Tuckey, Matthew Crosby, Alessandra Russo:
Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract). IJCAI 2022: 5314-5318 - [c9]Anna Strasser
How Far Can We Get in Creating a Digital Replica of a Philosopher? Robophilosophy 2022: 371-380 - [i4]Alexandra M. Proca, Fernando E. Rosas, Andrea I. Luppi, Daniel Bor, Matthew Crosby, Pedro A. M. Mediano:
Synergistic information supports modality integration and flexible learning in neural networks solving multiple tasks. CoRR abs/2210.02996 (2022) - 2021
- [j5]Jess Whittlestone, Kai Arulkumaran, Matthew Crosby:
The Societal Implications of Deep Reinforcement Learning. J. Artif. Intell. Res. 70: 1003-1030 (2021) - [i3]Auguste Lehuger, Matthew Crosby:
Fixed β-VAE Encoding for Curious Exploration in Complex 3D Environments. CoRR abs/2105.08568 (2021) - 2020
- [j4]Dagmar Monett, Colin W. P. Lewis, Kristinn R. Thórisson, Joscha Bach, Gianluca Baldassarre, Giovanni Granato, Istvan S. N. Berkeley, François Chollet, Matthew Crosby, Henry Shevlin, John F. Sowa, John E. Laird
Special Issue "On Defining Artificial Intelligence" - Commentaries and Author's Response. J. Artif. Gen. Intell. 11(2): 1-100 (2020) - [j3]Matthew Crosby
Building Thinking Machines by Solving Animal Cognition Tasks. Minds Mach. 30(4): 589-615 (2020) - [i2]Alexey Zakharov, Matthew Crosby, Zafeirios Fountas:
Episodic Memory for Learning Subjective-Timescale Models. CoRR abs/2010.01430 (2020)
2010 – 2019
- 2019
- [j2]Matthew Crosby, Benjamin Beyret, Marta Halina:
The Animal-AI Olympics. Nat. Mach. Intell. 1(5): 257 (2019) - [c8]Matthew Crosby:
Why Artificial Consciousness Matters. AAAI Spring Symposium: Towards Conscious AI Systems 2019 - [c7]Matthew Crosby, Benjamin Beyret, Murray Shanahan, José Hernández-Orallo, Lucy Cheke, Marta Halina:
The Animal-AI Testbed and Competition. NeurIPS (Competition and Demos) 2019: 164-176 - [i1]Benjamin Beyret, José Hernández-Orallo, Lucy Cheke, Marta Halina, Murray Shanahan, Matthew Crosby:
The Animal-AI Environment: Training and Testing Animal-Like Artificial Cognition. CoRR abs/1909.07483 (2019) - 2017
- [c6]Matthew Crosby, Ronald P. A. Petrick, Francesco Rovida, Volker Krüger:
Integrating Mission and Task Planning in an Industrial Robotics Framework. ICAPS 2017: 471-479 - [c5]Sankalp Bhatnagar, Anna Alexandrova, Shahar Avin, Stephen Cave
Mapping Intelligence: Requirements and Possibilities. PT-AI 2017: 117-135 - 2016
- [j1]Volker Krüger
A Vertical and Cyber-Physical Integration of Cognitive Robots in Manufacturing. Proc. IEEE 104(5): 1114-1127 (2016) - [c4]Matthew Crosby, Ronald P. A. Petrick, César Toscano, Rui Correia Dias, Francesco Rovida, Volker Krüger:
Integrating Mission, Logistics, and Task Planning for Skills-Based Robot Control in Industrial Kitting Applications. PlanSIG 2016 - 2014
- [b1]Matthew David Crosby:
Multiagent classical planning. University of Edinburgh, UK, 2014 - [c3]Matthew Crosby, Anders Jonsson
A Single-Agent Approach to Multiagent Planning. ECAI 2014: 237-242 - 2013
- [c2]Matt Crosby, Michael Rovatsos, Ronald P. A. Petrick:
Automated Agent Decomposition for Classical Planning. ICAPS 2013 - 2011
- [c1]Matt Crosby, Michael Rovatsos:
Heuristic multiagent planning with self-interested agents. AAMAS 2011: 1213-1214
Coauthor Index
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