5 citations · 5 across the 6 of their papers we have counts for
4 papers · 1 filter
Jointly Optimal Policies for Remote Estimation of Autoregressive Markov Processes over Time-Correlated Fading Channel
Manali Dutta, Rahul Singh, Shalabh Bhatnagar
We study a remote estimation setup with an autoregressive (AR) Markov process, a sensor, and a remote estimator. The sensor observes the process and sends encoded observations to t…
Convergence of Multiagent Learning Systems for Traffic control
Sayambhu Sen, Shalabh Bhatnagar
Rapid urbanization in cities like Bangalore has led to severe traffic congestion, making efficient Traffic Signal Control (TSC) essential. Multi-Agent Reinforcement Learning (MARL)…
Enabling Off-Policy Imitation Learning with Deep Actor Critic Stabilization
Sayambhu Sen, Shalabh Bhatnagar
Learning complex policies with Reinforcement Learning (RL) is often hindered by instability and slow convergence, a problem exacerbated by the difficulty of reward engineering. Imi…
Zeroth-Order Non-smooth Non-convex Optimization via Gaussian Smoothing
Anik Kumar Paul, Shalabh Bhatnagar
This paper addresses stochastic optimization of Lipschitz-continuous, nonsmooth and nonconvex objectives over compact convex sets, where only noisy function evaluations are availab…