1 citations · 2 across the 5 of their papers we have counts for
4 papers · 1 filter
Hybrid Feedback-Guided Optimal Learning for Wireless Interactive Panoramic Scene Delivery
Xiaoyi Wu, Juaren Steiger, Bin Li +1
Immersive applications such as virtual and augmented reality impose stringent requirements on frame rate, latency, and synchronization between physical and virtual environments. To…
On the Convergence of Modified Policy Iteration in Risk Sensitive Exponential Cost Markov Decision Processes
Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Modified policy iteration (MPI) is a dynamic programming algorithm that combines elements of policy iteration and value iteration. The convergence of MPI has been well studied in t…
Robust Multi-Agent Bandits Over Undirected Graphs
Daniel Vial, Sanjay Shakkottai, R. Srikant
We consider a multi-agent multi-armed bandit setting in which honest agents collaborate over a network to minimize regret but malicious agents can disrupt learning arbitrar…
Adaptive KL-UCB based Bandit Algorithms for Markovian and i.i.d. Settings
Arghyadip Roy, Sanjay Shakkottai, R. Srikant
In the regret-based formulation of Multi-armed Bandit (MAB) problems, except in rare instances, much of the literature focuses on arms with i.i.d. rewards. In this paper, we consid…