Publications

• Learning Methods for Sequential Decision Making with Imperfect Representations (PDF  BibTeX)
  Shivaram Kalyanakrishnan, 2011
  Ph.D. dissertation, published as UT Austin Computer Science Technical Report TR-11-41.
  
• Characterizing Reinforcement Learning Methods through Parameterized Learning Problems (PDF  BibTeX Publisher's on-line version)
  Shivaram Kalyanakrishnan and Peter Stone, 2011
  Machine Learning.
  
• On Learning with Imperfect Representations (PDF  BibTeX)
  Shivaram Kalyanakrishnan and Peter Stone, 2011
  ADPRL 2011.
  
• Learning to Predict Humanoid Fall (PDF  BibTeX Publisher's on-line version)
  Shivaram Kalyanakrishnan and Ambarish Goswami, 2011
  Electronic version of an article published as: International Journal of Humanoid Robotics, Volume 8, Number 2, pp. 245-273, DOI: 10.1142/S0219843611002496, © copyright World Scientific Publishing Company. International Journal of Humanoid Robotics.
  
• On Optimizing Interdependent Skills: A Case Study in Simulated 3D Humanoid Robot Soccer (PDF  BibTeX Supplementary page)
  Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor and Peter Stone, 2011
  AAMAS 2011. A similar version of this paper was presented at The Fifth Workshop on Humanoid Soccer Robots at Humanoids 2010, Nashville, TN, U.S.A.
  
• Efficient Selection of Multiple Bandit Arms: Theory and Practice (PDF  BibTeX)
  Shivaram Kalyanakrishnan and Peter Stone, 2010
  ICML 2010.
  
• Predicting Falls of a Humanoid Robot through Machine Learning (PDF  BibTeX)
  Shivaram Kalyanakrishnan and Ambarish Goswami, 2010
  IAAI 2010.
  
• A Machine Learning Approach for Predicting Humanoid Robot Fall
  Ambarish Goswami and Shivaram Kalyanakrishnan, 2010
  Patent pending.
  
• Integrating Value Function-Based and Policy Search Methods for Sequential Decision Making
  Shivaram Kalyanakrishnan and Peter Stone, 2009
  MSRL 2009. Extended abstract.
  
• Three Humanoid Soccer Platforms: Comparison and Synthesis (PDF  BibTeX)
  Shivaram Kalyanakrishnan, Todd Hester, Michael Quinlan, Yinon Bentor and Peter Stone, 2010
  RoboCup 2009. Short paper.
  
• Learning Complementary Multiagent Behaviors: A Case Study (PDF  BibTeX   Supplementary page)
  Shivaram Kalyanakrishnan and Peter Stone, 2010
  RoboCup 2009. Winner of Best Student Paper Award at the RoboCup International Symposium 2009, Graz, Austria. A similiar version of this paper was presented at the Adaptive and Learning Agents Workshop at AAMAS 2009, Budapest, Hungary. A short version is in the proceedings of AAMAS 2009.
  
• An Empirical Analysis of Value Function-Based and Policy Search Reinforcement Learning (PDF  BibTeX)
  Shivaram Kalyanakrishnan and Peter Stone, 2009
  AAMAS 2009.
  
• The UT Austin Villa 3D Simulation Soccer Team 2008 (PDF  BibTeX  Supplementary page)
  Shivaram Kalyanakrishnan, Yinon Bentor and Peter Stone, 2009
  Technical Report AI09-01, The University of Texas at Austin, Department of Computer Science, AI Laboratory.
• The UT Austin Villa 3D Simulation Soccer Team 2007 (PDF  BibTeX  Supplementary page)
  Shivaram Kalyanakrishnan and Peter Stone, 2007
  Technical Report AI07-348, The University of Texas at Austin, Department of Computer Science, AI Laboratory.
  
• Model-based Reinforcement Learning in a Complex Domain (PDF  BibTeX)
  Shivaram Kalyanakrishnan, Peter Stone and Yaxin Liu, 2008
  RoboCup 2007.
  
• Batch Reinforcement Learning in a Complex Domain (PDF  BibTeX)
  Shivaram Kalyanakrishnan and Peter Stone, 2007
  AAMAS 2007. Nominee for Best Student Paper Award at AAMAS 2007, Honolulu, Hawai'i, U.S.A.
  
• Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study (PDF  BibTeX  Supplementary page)
  Shivaram Kalyanakrishnan, Yaxin Liu and Peter Stone, 2007
  RoboCup 2006. Winner of Best Student Paper Award at the RoboCup International Symposium 2006, Bremen, Germany.