543 citations · 2.3k across the 163 of their papers we have counts for
6 papers · 1 filter
Convergence Rates of Average-Reward Multi-agent Reinforcement Learning via Randomized Linear Programming
Alec Koppel, Amrit Singh Bedi, Bhargav Ganguly +1
In tabular multi-agent reinforcement learning with average-cost criterion, a team of agents sequentially interacts with the environment and observes local incentives. We focus on t…
Provably Efficient Model-Free Algorithm for MDPs with Peak Constraints
Qinbo Bai, Vaneet Aggarwal, Ather Gattami
In the optimization of dynamic systems, the variables typically have constraints. Such problems can be modeled as a Constrained Markov Decision Process (CMDP). This paper considers…
Escaping Saddle Points for Zeroth-order Nonconvex Optimization using Estimated Gradient Descent
Qinbo Bai, Mridul Agarwal, Vaneet Aggarwal
Gradient descent and its variants are widely used in machine learning. However, oracle access of gradient may not be available in many applications, limiting the direct use of grad…
Escaping Saddle Points with the Successive Convex Approximation Algorithm
Amrit Singh Bedi, Ketan Rajawat, Vaneet Aggarwal
Optimizing non-convex functions is of primary importance in the vast majority of machine learning algorithms. Even though many gradient descent based algorithms have been studied,…
Menu-Based Pricing for Charging of Electric Vehicles with Vehicle-to-Grid Service
Arnob Ghosh, Vaneet Aggarwal
The paper considers a bidirectional power flow model of the electric vehicles (EVs) in a charging station. The EVs can inject energies by discharging via a Vehicle-to-Grid (V2G) se…
Control of Charging of Electric Vehicles through Menu-Based Pricing
Arnob Ghosh, Vaneet Aggarwal
We propose an online pricing mechanism for electric vehicle (EV) charging. A charging station decides prices for each arriving EV depending on the energy and the time within which…