3 citations · 9 across the 22 of their papers we have counts for
6 papers · 1 filter
Mean field teams and games with correlated types
Deepanshu Vasal
Mean field games have traditionally been defined~[1,2] as a model of large scale interaction of players where each player has a private type that is independent across the players.…
Master equation of discrete-time Stackelberg mean field games with multiple leaders
Deepanshu Vasal
In this paper, we consider a discrete-time Stackelberg mean field game with a finite number of leaders, a finite number of major followers and an infinite number of minor followers…
Master Equation for Discrete-Time Stackelberg Mean Field Games with single leader
Deepanshu Vasal, Randall Berry
In this paper, we consider a discrete-time Stackelberg mean field game with a leader and an infinite number of followers. The leader and the followers each observe types privately…
Model-free Reinforcement Learning for Non-stationary Mean Field Games
Rajesh K Mishra, Deepanshu Vasal, Sriram Vishwanath
In this paper, we consider a finite horizon, non-stationary, mean field games (MFG) with a large population of homogeneous players, sequentially making strategic decisions, where e…
Decentralized multi-agent reinforcement learning with shared actions
Rajesh K Mishra, Deepanshu Vasal, Sriram Vishwanath
In this paper, we propose a novel model-free reinforcement learning algorithm to compute the optimal policies for a multi-agent system with cooperative agents where each agent…
Sequential decomposition of discrete memoryless channel with noisy feedback
Deepanshu Vasal
In this paper, we consider a discrete memoryless point to point channel with noisy feedback, where there is a sender with a private message that she wants to communicate to a recei…