1 citations · 1 across the 5 of their papers we have counts for
5 papers
Convex Approximations of Random Constrained Markov Decision Processes
V Varagapriya, Vikas Vikram Singh, Abdel Lisser
Constrained Markov decision processes (CMDPs) are used as a decision-making framework to study the long-run performance of a stochastic system. It is well-known that a stationary o…
Distributionally robust chance-constrained Markov decision processes
Hoang Nam Nguyen, Abdel Lisser, Vikas Vikram Singh
Markov decision process (MDP) is a decision making framework where a decision maker is interested in maximizing the expected discounted value of a stream of rewards received at fut…
Blackwell-Nash Equilibrium for Discrete and Continuous Time Stochastic Games
Vikas Vikram Singh, N. Hemachandra
We consider both discrete and continuous time finite state-action stochastic games. In discrete time stochastic games, it is known that a stationary Blackwell-Nash equilibrium (BNE…
Stochastic Coalitional Better-response Dynamics and Strong Nash Equilibrium
Konstantin Avrachenkov, Vikas Vikram Singh
We consider coalition formation among players in an n-player finite strategic game over infinite horizon. At each time a randomly formed coalition makes a joint deviation from a cu…
A mathematical programming based characterization of Nash equilibria of some constrained stochastic games
Vikas Vikram Singh, N. Hemachandra
We consider two classes of constrained finite state-action stochastic games. First, we consider a two player nonzero sum single controller constrained stochastic game with both ave…