27 citations · 108 across the 34 of their papers we have counts for
3 papers · 1 filter
Learning with Safety Constraints: Sample Complexity of Reinforcement Learning for Constrained MDPs
Aria HasanzadeZonuzy, Archana Bura, Dileep Kalathil +1
Many physical systems have underlying safety considerations that require that the policy employed ensures the satisfaction of a set of constraints. The analytical formulation usual…
Reinforcement Learning for Mean Field Games with Strategic Complementarities
Kiyeob Lee, Desik Rengarajan, Dileep Kalathil +1
Mean Field Games (MFG) are the class of games with a very large number of agents and the standard equilibrium concept is a Mean Field Equilibrium (MFE). Algorithms for learning MFE…
Learning to Cache and Caching to Learn: Regret Analysis of Caching Algorithms
Archana Bura, Desik Rengarajan, Dileep Kalathil +2
Crucial performance metrics of a caching algorithm include its ability to quickly and accurately learn a popularity distribution of requests. However, a majority of work on analyti…