Shivaram Kalyanakrishnan

According to our database, Shivaram Kalyanakrishnan authored at least 37 papers between 2006 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2022

Some Upper Bounds on the Running Time of Policy Iteration on Deterministic MDPs.

Ritesh Goenka, Eashan Gupta, Sushil Khyalia, Pratyush Agarwal, Mulinti Shaik Wajid, Shivaram Kalyanakrishnan

CoRR, 2022

Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence.

Peter Stone, Rodney Brooks, Erik Brynjolfsson, Ryan Calo, Oren Etzioni, Greg Hager, Julia Hirschberg, Shivaram Kalyanakrishnan, Ece Kamar, Sarit Kraus, Kevin Leyton-Brown, David C. Parkes, William H. Press, AnnaLee Saxenian, Julie Shah, Milind Tambe, Astro Teller

CoRR, 2022

PAC Mode Estimation using PPR Martingale Confidence Sequences.

Shubham Anand Jain, Rohan Shah, Sanit Gupta, Denil Mehta, Inderjeet J. Nair, Jian Vora, Sushil Khyalia, Sourav Das, Vinay J. Ribeiro, Shivaram Kalyanakrishnan

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022

2021

An Analysis of Frame-skipping in Reinforcement Learning.

Shivaram Kalyanakrishnan, Siddharth Aravindan, Vishwajeet Bagdawat, Varun Bhatt, Harshith Goka, Archit Gupta, Kalpesh Krishna, Vihari Piratla

CoRR, 2021

The Second NeurIPS Tournament of Reconnaissance Blind Chess.

Gino Perrotta, Ryan W. Gardner, Corey Lowman, Mohammad Taufeeque, Nitish Tongia, Shivaram Kalyanakrishnan, Gregory Clark, Kevin Wang, Eitan Rothberg, Brady P. Garrison, Prithviraj Dasgupta, Callum Canavan, Lucas McCabe

Proceedings of the NeurIPS 2021 Competitions and Demonstrations Track, 2021

The Machine Reconnaissance Blind Chess Tournament of NeurIPS 2022.

Ryan W. Gardner, Gino Perrotta, Anvay Shah, Shivaram Kalyanakrishnan, Kevin A. Wang, Gregory Clark, Timo Bertram, Johannes Fürnkranz, Martin Müller, Brady P. Garrison, Prithviraj Dasgupta, Saeid Rezaei

Proceedings of the NeurIPS 2022 Competition Track, 2021

Intelligent and Learning Agents: Four Investigations.

Shivaram Kalyanakrishnan

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Lower Bounds for Policy Iteration on Multi-action MDPs.

Kumar Ashutosh, Sarthak Consul, Bhishma Dedhia, Parthasarathi Khirwadkar, Sahil Shah, Shivaram Kalyanakrishnan

Proceedings of the 59th IEEE Conference on Decision and Control, 2020

Regret Minimisation in Multi-Armed Bandits Using Bounded Arm Memory.

Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Tighter Analysis of Randomised Policy Iteration.

Meet Taraviya, Shivaram Kalyanakrishnan

Proceedings of the Thirty-Fifth Conference on Uncertainty in Artificial Intelligence, 2019

PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits.

Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Proceedings of the 36th International Conference on Machine Learning, 2019

2018

Quantile-Regret Minimisation in Infinitely Many-Armed Bandits.

Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Proceedings of the Thirty-Fourth Conference on Uncertainty in Artificial Intelligence, 2018

Opportunities and Challenges for Artificial Intelligence in India.

Shivaram Kalyanakrishnan, Rahul Alex Panicker, Sarayu Natarajan, Shreya Rao

Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

2017

RLWS: A Reinforcement Learning based GPU Warp Scheduler.

Jayvant Anantpur, Nagendra Dwarakanath Gulur, Shivaram Kalyanakrishnan, Shalabh Bhatnagar, R. Govindarajan

CoRR, 2017

Improved Strong Worst-case Upper Bounds for MDP Planning.

Anchit Gupta, Shivaram Kalyanakrishnan

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

PAC Identification of a Bandit Arm Relative to a Reward Quantile.

Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan

Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016

AI's 10 to Watch.

Haris Aziz, Elias Bareinboim, Yejin Choi, Daniel J. Hsu, Shivaram Kalyanakrishnan, Reshef Meir, Suchi Saria, Gerardo I. Simari, Lirong Xia, William Yeoh

IEEE Intell. Syst., 2016

Batch-Switching Policy Iteration.

Shivaram Kalyanakrishnan, Utkarsh Mall, Ritish Goyal

Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Randomised Procedures for Initialising and Switching Actions in Policy Iteration.

Shivaram Kalyanakrishnan, Neeldhara Misra, Aditya Gopalan

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2014

Direction-changing fall control of humanoid robots: theory and experiments.

Ambarish Goswami, Seung-kook Yun, Umashankar Nagarajan, Sung-Hee Lee, KangKang Yin, Shivaram Kalyanakrishnan

Auton. Robots, 2014

GEV-Canonical Regression for Accurate Binary Class Probability Estimation when One Class is Rare.

Arpit Agarwal, Harikrishna Narasimhan, Shivaram Kalyanakrishnan, Shivani Agarwal

Proceedings of the 31th International Conference on Machine Learning, 2014

On Building Decision Trees from Large-scale Data in Applications of On-line Advertising.

Shivaram Kalyanakrishnan, Deepthi Singh, Ravi Kant

Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, 2014

2013

Information Complexity in Bandit Subset Selection.

Emilie Kaufmann, Shivaram Kalyanakrishnan

Proceedings of the COLT 2013, 2013

2012

PAC Subset Selection in Stochastic Multi-armed Bandits.

Shivaram Kalyanakrishnan, Ambuj Tewari, Peter Auer, Peter Stone

Proceedings of the 29th International Conference on Machine Learning, 2012

UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition.

Patrick MacAlpine, Daniel Urieli, Samuel Barrett, Shivaram Kalyanakrishnan, Francisco Barrera, Adrian Lopez-Mobilia, Nicolae Stiurca, Victor Vu, Peter Stone

Proceedings of the International Conference on Autonomous Agents and Multiagent Systems, 2012

2011

Characterizing reinforcement learning methods through parameterized learning problems.

Shivaram Kalyanakrishnan, Peter Stone

Mach. Learn., 2011

Learning to Predict Humanoid Fall.

Shivaram Kalyanakrishnan, Ambarish Goswami

Int. J. Humanoid Robotics, 2011

On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer.

Daniel Urieli, Patrick MacAlpine, Shivaram Kalyanakrishnan, Yinon Bentor, Peter Stone

Proceedings of the 10th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2011), 2011

On learning with imperfect representations.

Shivaram Kalyanakrishnan, Peter Stone

Proceedings of the 2011 IEEE Symposium on Adaptive Dynamic Programming And Reinforcement Learning, 2011

2010

Efficient Selection of Multiple Bandit Arms: Theory and Practice.

Shivaram Kalyanakrishnan, Peter Stone

Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

Predicting Falls of a Humanoid Robot through Machine Learning.

Shivaram Kalyanakrishnan, Ambarish Goswami

Proceedings of the Twenty-Second Conference on Innovative Applications of Artificial Intelligence, 2010

2009

Learning Complementary Multiagent Behaviors: A Case Study.

Shivaram Kalyanakrishnan, Peter Stone

Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

Three Humanoid Soccer Platforms: Comparison and Synthesis.

Shivaram Kalyanakrishnan, Todd Hester, Michael J. Quinlan, Yinon Bentor, Peter Stone

Proceedings of the RoboCup 2009: Robot Soccer World Cup XIII [papers from the 13th annual RoboCup International Symposium, Graz, Austria, June 29, 2009

An empirical analysis of value function-based and policy search reinforcement learning.

Shivaram Kalyanakrishnan, Peter Stone

Proceedings of the 8th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2009), 2009

2007

Model-Based Reinforcement Learning in a Complex Domain.

Shivaram Kalyanakrishnan, Peter Stone, Yaxin Liu

Proceedings of the RoboCup 2007: Robot Soccer World Cup XI, 2007

Batch reinforcement learning in a complex domain.

Shivaram Kalyanakrishnan, Peter Stone

Proceedings of the 6th International Joint Conference on Autonomous Agents and Multiagent Systems (AAMAS 2007), 2007

2006

Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.

Shivaram Kalyanakrishnan, Yaxin Liu, Peter Stone

Proceedings of the RoboCup 2006: Robot Soccer World Cup X, 2006