Patrick Riley
Cited by
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Neural message passing for quantum chemistry
J Gilmer, SS Schoenholz, PF Riley, O Vinyals, GE Dahl
Proceedings of the 34th International Conference on Machine Learning-Volume …, 2017
Molecular graph convolutions: moving beyond fingerprints
S Kearnes, K McCloskey, M Berndl, V Pande, P Riley
Journal of computer-aided molecular design 30 (8), 595-608, 2016
Massively multitask networks for drug discovery
B Ramsundar, S Kearnes, P Riley, D Webster, D Konerding, V Pande
arXiv preprint arXiv:1502.02072, 2015
Prediction errors of molecular machine learning models lower than hybrid DFT error
FA Faber, L Hutchison, B Huang, J Gilmer, SS Schoenholz, GE Dahl, ...
Journal of chemical theory and computation 13 (11), 5255-5264, 2017
The CMUnited-99 champion simulator team
P Stone, P Riley, M Veloso
Robot Soccer World Cup, 35-48, 1999
Next generation modeling III-agents: Spades---a distributed agent simulation environment with software-in-the-loop execution
PF Riley, GF Riley
Proceedings of the 35th conference on Winter simulation: driving innovation …, 2003
The CMUnited-98 champion simulator team
P Stone, M Veloso, P Riley
Robot Soccer World Cup, 61-76, 1998
On behavior classification in adversarial environments
P Riley, M Veloso
Distributed autonomous robotic systems 4, 371-380, 2000
Defining and using ideal teammate and opponent agent models: A case study in robotic soccer
P Stone, P Riley, M Veloso
Proceedings Fourth International Conference on MultiAgent Systems, 441-442, 2000
Planning for Distributed Execution through Use of Probabilistic Opponent Models.
P Riley, MM Veloso
AIPS, 72-82, 2002
Recognizing probabilistic opponent movement models
P Riley, M Veloso
Robot Soccer World Cup, 453-458, 2001
An empirical study of coaching
P Riley, M Veloso, G Kaminka
Distributed Autonomous Robotic Systems 5, 215-224, 2002
Tensor field networks: Rotation-and translation-equivariant neural networks for 3d point clouds
N Thomas, T Smidt, S Kearnes, L Yang, L Li, K Kohlhoff, P Riley
arXiv preprint arXiv:1802.08219, 2018
Layered disclosure: Revealing agents’ internals
P Riley, P Stone, M Veloso
International Workshop on Agent Theories, Architectures, and Languages, 61-72, 2000
Optimization of molecules via deep reinforcement learning
Z Zhou, S Kearnes, L Li, RN Zare, P Riley
Scientific reports 9 (1), 1-10, 2019
Users manual: RoboCup soccer server manual for soccer server version 7.07 and later
M Chen, E Foroughi, F Heintz, S Kapetanakis, K Kostiadis, J Kummeneje, ...
Three pitfalls to avoid in machine learning
P Riley
Nature 572 (7767), 27-29, 2019
SPADES: a system for parallel-agent, discrete-event simulation
P Riley
AI Magazine 24 (2), 41-41, 2003
Coaching a simulated soccer team by opponent model recognition
P Riley, M Veloso
Proceedings of the fifth international conference on Autonomous agents, 155-156, 2001
MPADES: Middleware for parallel agent discrete event simulation
P Riley
Robot Soccer World Cup, 162-178, 2002
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