1 citations · 1 across the 2 of their papers we have counts for
3 papers
stat.ML2019
Privacy-preserving Q-Learning with Functional Noise in Continuous State Spaces
Baoxiang Wang, Nidhi Hegde
We consider differentially private algorithms for reinforcement learning in continuous spaces, such that neighboring reward functions are indistinguishable. This protects the rewar…
cs.PF2018
Optimal Content Replication and Request Matching in Large Caching Systems
Arpan Mukhopadhyay, Nidhi Hegde, Marc Lelarge
We consider models of content delivery networks in which the servers are constrained by two main resources: memory and bandwidth. In such systems, the throughput crucially depends…
cs.NI2009★ 1 cited
Size Does Matter (in P2P Live Streaming)
Nidhi Hegde, Fabien Mathieu, Diego Perino
Optimal dissemination schemes have previously been studied for peer-to-peer live streaming applications. Live streaming being a delay-sensitive application, fine tuning of dissemin…