Aravind S. Lakshminarayanan

According to our database, Aravind S. Lakshminarayanan authored at least 10 papers between 2015 and 2021.

Collaborative distances:

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

2021

Representation Learning for Perception and Control

Aravind S. Lakshminarayanan

PhD thesis, 2021

2017

Every team deserves a second chance: an extended study on predicting team performance.

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Vaishnavh Nagarajan, Milind Tambe

Auton. Agents Multi Agent Syst., 2017

Learning to Repeat: Fine Grained Action Repetition for Deep Reinforcement Learning.

Sahil Sharma, Aravind S. Lakshminarayanan, Balaraman Ravindran

Proceedings of the 5th International Conference on Learning Representations, 2017

Attend, Adapt and Transfer: Attentive Deep Architecture for Adaptive Transfer from multiple sources in the same domain.

Janarthanan Rajendran, Aravind S. Lakshminarayanan, Mitesh M. Khapra, P. Prasanna, Balaraman Ravindran

Proceedings of the 5th International Conference on Learning Representations, 2017

Dynamic Action Repetition for Deep Reinforcement Learning.

Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran

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

2016

Dynamic Frame skip Deep Q Network.

Aravind S. Lakshminarayanan, Sahil Sharma, Balaraman Ravindran

CoRR, 2016

Hierarchical Reinforcement Learning using Spatio-Temporal Abstractions and Deep Neural Networks.

Ramnandan Krishnamurthy, Aravind S. Lakshminarayanan, Peeyush Kumar, Balaraman Ravindran

CoRR, 2016

Simultaneous Influencing and Mapping Social Networks: (Extended Abstract).

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe

Proceedings of the 2016 International Conference on Autonomous Agents & Multiagent Systems, 2016

Simultaneous Influencing and Mapping for Health Interventions.

Leandro Soriano Marcolino, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe

Proceedings of the Expanding the Boundaries of Health Informatics Using AI, 2016

2015

Making the Most of Our Regrets: Regret-Based Solutions to Handle Payoff Uncertainty and Elicitation in Green Security Games.

Thanh Hong Nguyen, Francesco Maria Delle Fave, Debarun Kar, Aravind S. Lakshminarayanan, Amulya Yadav, Milind Tambe, Noa Agmon, Andrew J. Plumptre, Margaret Driciru, Fred Wanyama, Aggrey Rwetsiba

Proceedings of the Decision and Game Theory for Security - 6th International Conference, 2015