Sahil Sharma

According to our database, Sahil Sharma authored at least 7 papers between 2016 and 2018.

Collaborative distances:

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

2018

Learning to Multi-Task by Active Sampling.

Sahil Sharma, Ashutosh Kumar Jha, Parikshit Hegde, Balaraman Ravindran

Proceedings of the 6th International Conference on Learning Representations, 2018

2017

Learning to Factor Policies and Action-Value Functions: Factored Action Space Representations for Deep Reinforcement learning.

Sahil Sharma, Aravind Suresh, Rahul Ramesh, Balaraman Ravindran

CoRR, 2017

Learning to Mix n-Step Returns: Generalizing lambda-Returns for Deep Reinforcement Learning.

Sahil Sharma, Girish Raguvir J, Srivatsan Ramesh, Balaraman Ravindran

CoRR, 2017

Online Multi-Task Learning Using Active Sampling.

Sahil Sharma, Balaraman Ravindran

Proceedings of the 5th International Conference on Learning Representations, 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

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