2 citations · 5 across the 4 of their papers we have counts for
4 papers
Actor-Critic Methods using Physics-Informed Neural Networks: Control of a 1D PDE Model for Fluid-Cooled Battery Packs
Amartya Mukherjee, Jun Liu
This paper proposes an actor-critic algorithm for controlling the temperature of a battery pack using a cooling fluid. This is modeled by a coupled 1D partial differential equation…
Bridging Physics-Informed Neural Networks with Reinforcement Learning: Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO)
Amartya Mukherjee, Jun Liu
This paper introduces the Hamilton-Jacobi-Bellman Proximal Policy Optimization (HJBPPO) algorithm into reinforcement learning. The Hamilton-Jacobi-Bellman (HJB) equation is used in…
Stochastic Parameterization using Compressed Sensing: Application to the Lorenz-96 Atmospheric Model
Amartya Mukherjee, Yusuf Aydogdu, Thambirajah Ravichandran +1
Growing set of optimization and regression techniques, based upon sparse representations of signals, to build models from data sets has received widespread attention recently with…
A Comparison of Reward Functions in Q-Learning Applied to a Cart Position Problem
Amartya Mukherjee
Growing advancements in reinforcement learning has led to advancements in control theory. Reinforcement learning has effectively solved the inverted pendulum problem and more recen…