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Shivaram Kalyanakrishnan

Observed names: Kalyanakrishnan, Shivaram, Kalyanakrishnan, Shivaram 1983-, SHIVARAM KALYANAKRISHNAN
ORCID: 0009-0006-7707-6056
Observed ORCID: 0009-0006-7707-6056
OpenAlex ID: A5038200034
Artificial Intelligence and Life in 2030: The One Hundred Year Study on Artificial Intelligence
2022 · Stone, Peter, Brooks, Rodney, et al. · arXiv (Cornell University) · 242
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PAC Subset Selection in Stochastic Multi-armed Bandits
2012 · Shivaram Kalyanakrishnan, Ambuj Tewari, et al. · 208
Information Complexity in Bandit Subset Selection
2013 · Emilie Kaufmann, Shivaram Kalyanakrishnan · 114
Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study
2007 · Shivaram Kalyanakrishnan, Yaxin Liu, et al. · Lecture notes in computer science · 78
Batch reinforcement learning in a complex domain
2007 · Shivaram Kalyanakrishnan, Peter Stone · Adaptive Agents and Multi-Agents Systems · 74
Efficient Selection of Multiple Bandit Arms: Theory and Practice
2010 · Shivaram Kalyanakrishnan, Peter Stone · 70
Opportunities and Challenges for Artificial Intelligence in India
2018 · Shivaram Kalyanakrishnan, Rahul Alex Panicker, et al. · Proceedings of the AAAI/ACM Conference on AI Ethics and Society · 61
Learning to Predict Humanoid Fall
2011 · SHIVARAM KALYANAKRISHNAN, AMBARISH GOSWAMI · International Journal of Humanoid Robotics · 49
Direction-changing fall control of humanoid robots: theory and experiments
2013 · Ambarish Goswami, Seung-kook Yun, et al. · Autonomous Robots · 47
On optimizing interdependent skills: a case study in simulated 3D humanoid robot soccer
2011 · Daniel Urieli, Patrick MacAlpine, et al. · Adaptive Agents and Multi-Agents Systems · 35
Learning Complementary Multiagent Behaviors: A Case Study
2010 · Shivaram Kalyanakrishnan, Peter Stone · Lecture notes in computer science · 33
UT Austin Villa 2011: a champion agent in the RoboCup 3D soccer simulation competition
2012 · Patrick MacAlpine, Daniel Urieli, et al. · Adaptive Agents and Multi-Agents Systems · 31
An empirical analysis of value function-based and policy search reinforcement learning
2009 · Shivaram Kalyanakrishnan, Peter Stone · Adaptive Agents and Multi-Agents Systems · 26
Characterizing reinforcement learning methods through parameterized learning problems
2011 · Shivaram Kalyanakrishnan, Peter Stone · Machine Learning · 21
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PAC Identification of a Bandit Arm Relative to a Reward Quantile
2017 · Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan · Proceedings of the AAAI Conference on Artificial Intelligence · 20
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Reinforcement Learning for Improving Chemical Reaction Performance
2024 · Ajnabiul Hoque, Mihir Surve, et al. · Journal of the American Chemical Society · 15
An Analysis of Frame-skipping in Reinforcement Learning
2021 · Kalyanakrishnan, Shivaram, Aravindan, Siddharth, et al. · arXiv (Cornell University) · 14
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Model-Based Reinforcement Learning in a Complex Domain
2008 · Shivaram Kalyanakrishnan, Peter Stone, et al. · Lecture notes in computer science · 12
UT Austin Villa 2011: 3D Simulation Team Report
2011 · Patrick MacAlpine, Daniel Urieli, et al. · 10
Predicting Falls of a Humanoid Robot through Machine Learning
2010 · Shivaram Kalyanakrishnan, Ambarish Goswami · Proceedings of the AAAI Conference on Artificial Intelligence · 9
Quantile-Regret Minimisation in Infinitely Many-Armed Bandits
2018 · Arghya Roy Chaudhuri, Shivaram Kalyanakrishnan · Uncertainty in Artificial Intelligence · 8
Randomised Procedures for Initialising and Switching Actions in Policy Iteration
2016 · Shivaram Kalyanakrishnan, Neeldhara Misra, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 7
Optimising a Real-Time Scheduler for Indian Railway Lines by Policy Search
2021 · Rohit Prasad, Harshad Khadilkar, et al. · Indian Control Conference · 6
PAC Identification of Many Good Arms in Stochastic Multi-Armed Bandits
2019 · Chaudhuri, Arghya Roy, Kalyanakrishnan, Shivaram · arXiv (Cornell University) · 6
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On learning with imperfect representations
2011 · Shivaram Kalyanakrishnan, Peter Stone · IEEE Symposium on Adaptive Dynamic Programming and Reinforcement Learning · 6
Works count: 78
Citation count: 1,242
H-index: 15
I10-index: 19
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