Takip et
Peter Stone
Peter Stone
Professor of Computer Science, The University of Texas at Austin
cs.utexas.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Transfer learning for reinforcement learning domains: A survey.
ME Taylor, P Stone
Journal of Machine Learning Research 10 (7), 2009
22502009
Deep recurrent q-learning for partially observable mdps
M Hausknecht, P Stone
2015 aaai fall symposium series, 2015
21072015
Multiagent systems: A survey from a machine learning perspective
P Stone, M Veloso
Autonomous Robots 8, 345-383, 2000
19832000
A multiagent approach to autonomous intersection management
K Dresner, P Stone
Journal of artificial intelligence research 31, 591-656, 2008
14992008
Layered learning in multiagent systems
PH Stone
Carnegie Mellon University, 1998
1027*1998
Multiagent traffic management: A reservation-based intersection control mechanism
K Dresner, P Stone
Autonomous Agents and Multiagent Systems, International Joint Conference on …, 2004
8522004
Policy gradient reinforcement learning for fast quadrupedal locomotion
N Kohl, P Stone
IEEE International Conference on Robotics and Automation, 2004. Proceedings …, 2004
8012004
Task decomposition, dynamic role assignment, and low-bandwidth communication for real-time strategic teamwork
P Stone, M Veloso
Artificial Intelligence 110 (2), 241-273, 1999
6491999
Behavioral cloning from observation
F Torabi, G Warnell, P Stone
arXiv preprint arXiv:1805.01954, 2018
6412018
Artificial intelligence and life in 2030: the one hundred year study on artificial intelligence
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
arXiv preprint arXiv:2211.06318, 2022
6102022
Reinforcement learning for robocup soccer keepaway
P Stone, RS Sutton, G Kuhlmann
Adaptive Behavior 13 (3), 165-188, 2005
5982005
Interactively shaping agents via human reinforcement: The TAMER framework
WB Knox, P Stone
Proceedings of the fifth international conference on Knowledge capture, 9-16, 2009
5792009
Scalable training of artificial neural networks with adaptive sparse connectivity inspired by network science
DC Mocanu, E Mocanu, P Stone, PH Nguyen, M Gibescu, A Liotta
Nature communications 9 (1), 2383, 2018
5732018
Autonomous agents modelling other agents: A comprehensive survey and open problems
SV Albrecht, P Stone
Artificial Intelligence 258, 66-95, 2018
5142018
The RoboCup synthetic agent challenge 97
H Kitano, M Tambe, P Stone, M Veloso, S Coradeschi, E Osawa, ...
RoboCup-97: Robot Soccer World Cup I 1, 62-73, 1998
4911998
Ad hoc autonomous agent teams: Collaboration without pre-coordination
P Stone, G Kaminka, S Kraus, J Rosenschein
Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 1504-1509, 2010
4392010
Curriculum learning for reinforcement learning domains: A framework and survey
S Narvekar, B Peng, M Leonetti, J Sinapov, ME Taylor, P Stone
Journal of Machine Learning Research 21 (181), 1-50, 2020
4302020
PAC subset selection in stochastic multi-armed bandits.
S Kalyanakrishnan, A Tewari, P Auer, P Stone
ICML 12, 655-662, 2012
4062012
Artificial intelligence and life in 2030
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
One hundred year study on artificial intelligence: Report of the 2015-2016 …, 2016
4002016
Deep reinforcement learning in parameterized action space
M Hausknecht, P Stone
arXiv preprint arXiv:1511.04143, 2015
3752015
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Makaleler 1–20