Shivaram Kalyanakrishnan
Ph.D. Alumni
Shivaram is interested in practical applications of reinforcement learning. In particular, he has used robot soccer as a test domain for much of his research, which has resulted in two Best Student Paper awards at RoboCup. During an internship at the Honda Research Institute, Shivaram applied machine learning to the problem of humanoid fall prediction. His other interests include history, literature, cricket, geography, and theatre.
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Half Field Offense: An Environment for Multiagent Learning and Ad Hoc Teamwork 2016
Matthew Hausknecht, Prannoy Mupparaju, Sandeep Subramanian, Shivaram Kalyanakrishnan, and Peter Stone, In AAMAS Adaptive Learning Agents (ALA) Workshop, Singapore, May 2016.
PAC Subset Selection in Stochastioc Multi-armed Bandits 2012
Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, and Peter Stone, In In proceedings of the 29th International Conference on Machine Learning (ICML 2012), June-July 2012.
UT Austin Villa 2011: A Champion Agent in the RoboCup 3D Soccer Simulation Competition 2012
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, and Peter Stone, In Proc. of 11th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'12), June 2012.
Characterizing Reinforcement Learning Methods through Parameterized Learning Problems 2011
Shivaram Kalyanakrishnan and Peter Stone, Machine Learning (2011).
On Learning with Imperfect Representations 2011
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning, April 2011.
On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer 2011
Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, In Proc. of 10th Int. Conf. on Autonomous Agents and Multiagent Systems (AAMAS'11), May 2011.
UT Austin Villa 2011 3D Simulation Team Report 2011
Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, and Peter Stone, Technical Report, Department of Computer Science, The University of Texas at Austin.
Efficient Selection of Multiple Bandit Arms: Theory and Practice 2010
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the 27th International Conference on Machine Learning (ICML 2010) 2010.
An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning 2009
Shivaram Kalyanakrishnan and Peter Stone, In The Eighth International Conference on Autonomous Agents and Multiagent Systems (AAMAS), pp. 749-756, Richland, SC, May 2009. International Foundation for Autonomous Agents and Multiagent Sy...
Learning Complementary Multiagent Behaviors: A Case Study 2009
Shivaram Kalyanakrishnan and Peter Stone, In Proceedings of the RoboCup International Symposium 2009 2009. Springer Verlag.
The UT Austin Villa 3D Simulation Soccer Team 2008 2009
Shivaram Kalyanakrishnan, Yinon Bentor, and Peter Stone, Technical Report AI09-01, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Three Humanoid Soccer Platforms: Comparison and Synthesis 2009
Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor, and Peter Stone, In Proceedings of the RoboCup International Symposium 2009 2009. Springer Verlag.
Model-based Reinforcement Learning in a Complex Domain 2008
Shivaram Kalyanakrishnan, Peter Stone, and Yaxin Liu, In RoboCup-2007: Robot Soccer World Cup XI, Ubbo Visser and Fernando Ribeiro and Takeshi Ohashi and Frank Dellaert (Eds.), Vol. 5001, pp. 171-83, Berlin 2008. Springer Verlag.
Batch Reinforcement Learning in a Complex Domain 2007
Shivaram Kalyanakrishnan and Peter Stone, In The Sixth International Joint Conference on Autonomous Agents and Multiagent Systems, pp. 650-657, New York, NY, USA, May 2007. ACM.
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study 2007
Shivaram Kalyanakrishnan, Yaxin Liu, and Peter Stone, In RoboCup-2006: Robot Soccer World Cup X, Gerhard Lakemeyer and Elizabeth Sklar and Domenico Sorenti and Tomoichi Takahashi (Eds.), Vol. 4434, pp. 72-85, Berlin 2007. Springer Verlag.
The UT Austin Villa 3D Simulation Soccer Team 2007 2007
Shivaram Kalyanakrishnan and Peter Stone, Technical Report AI-07-348, The University of Texas at Austin, Department of Computer Sciences, AI Laboratory.
Formerly affiliated with Learning Agents