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Shivaram Kalyanakrishnan
Shivaram Kalyanakrishnan
cse.iitb.ac.in의 이메일 확인됨 - 홈페이지
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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
773*2022
PAC subset selection in stochastic multi-armed bandits.
S Kalyanakrishnan, A Tewari, P Auer, P Stone
ICML 12, 655-662, 2012
3562012
Information complexity in bandit subset selection
E Kaufmann, S Kalyanakrishnan
Conference on Learning Theory, 228-251, 2013
1742013
RoboCup 2006: Robot Soccer World Cup X
DG SORRENTI
Springer, 2007
149*2007
Efficient selection of multiple bandit arms: Theory and practice.
S Kalyanakrishnan, P Stone
ICML 10, 511-518, 2010
1142010
Batch reinforcement learning in a complex domain
S Kalyanakrishnan, P Stone
Proceedings of the 6th international joint conference on Autonomous agents …, 2007
1122007
Half field offense: An environment for multiagent learning and ad hoc teamwork
M Hausknecht, P Mupparaju, S Subramanian, S Kalyanakrishnan, ...
AAMAS Adaptive Learning Agents (ALA) Workshop 3, 2016
842016
On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer.
D Urieli, P MacAlpine, S Kalyanakrishnan, Y Bentor, P Stone
AAMAS 11, 769, 2011
692011
UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition.
P MacAlpine, D Urieli, S Barrett, S Kalyanakrishnan, F Barrera, ...
AAMAS, 129-136, 2012
532012
Learning to predict humanoid fall
S Kalyanakrishnan, A Goswami
International Journal of Humanoid Robotics 8 (02), 245-273, 2011
532011
Opportunities and challenges for artificial intelligence in India
S Kalyanakrishnan, RA Panicker, S Natarajan, S Rao
Proceedings of the 2018 AAAI/ACM conference on AI, Ethics, and Society, 164-170, 2018
472018
Direction-changing fall control of humanoid robots: theory and experiments
A Goswami, S Yun, U Nagarajan, SH Lee, KK Yin, S Kalyanakrishnan
Autonomous Robots 36, 199-223, 2014
462014
RoboCup 2009: Robot Soccer World Cup XIII
S Kalyanakrishnan, P Stone, J Baltes
Lecture notes in computer science 5949, 153-165, 2010
40*2010
Machine learning approach for predicting humanoid robot fall
A Goswami, S Kalyanakrishnan
US Patent 8,554,370, 2013
372013
An empirical analysis of value function-based and policy search reinforcement learning
S Kalyanakrishnan, P Stone
Proceedings of The 8th International Conference on Autonomous Agents and …, 2009
362009
PAC identification of a bandit arm relative to a reward quantile
AR Chaudhuri, S Kalyanakrishnan
Proceedings of the AAAI Conference on Artificial Intelligence 31 (1), 2017
292017
at al.(2016)
P Stone, R Brooks, E Brynjolfsson, R Calo, O Etzioni, G Hager, ...
Artificial Intelligence and Life in 2030, 2015-2016, 0
29
UT Austin Villa 2011: 3D Simulation Team Report
P MacAlpine, D Urieli, S Barrett, F Barrera, A Lopez-Mobilia, V Vu, ...
University of Texas at Austin Austin United States, 2011
282011
Characterizing reinforcement learning methods through parameterized learning problems
S Kalyanakrishnan, P Stone
Machine Learning 84, 205-247, 2011
262011
PAC identification of many good arms in stochastic multi-armed bandits
AR Chaudhuri, S Kalyanakrishnan
International Conference on Machine Learning, 991-1000, 2019
182019
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