3 papers
cs.LG2020
On the Convergence of Reinforcement Learning in Nonlinear Continuous State Space Problems
Raman Goyal, Suman Chakravorty, Ran Wang +1
We consider the problem of Reinforcement Learning for nonlinear stochastic dynamical systems. We show that in the RL setting, there is an inherent ``Curse of Variance" in addition…
math.OC2020
Experiments with Tractable Feedback in Robotic Planning under Uncertainty: Insights over a wide range of noise regimes (Extended Report)
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty. This problem may be posed as a stochastic optimal control problem, complete solution to which is fundamentally intrac…
eess.SY2019
Decoupling stochastic optimal control problems for efficient solution: insights from experiments across a wide range of noise regimes
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Dylan A. Shell
We consider the problem of robotic planning under uncertainty in this paper. This problem may be posed as a stochastic optimal control problem, a solution to which is fundamentally…