4 citations · 9 across the 3 of their papers we have counts for
4 papers
D2C 2.0: Decoupled Data-Based Approach for Learning to Control Stochastic Nonlinear Systems via Model-Free ILQR
Karthikeya S Parunandi, Aayushman Sharma, Suman Chakravorty +1
In this paper, we propose a structured linear parameterization of a feedback policy to solve the model-free stochastic optimal control problem. This parametrization is corroborated…
On the Search for Feedback in Reinforcement Learning
Ran Wang, Karthikeya S. Parunandi, Aayushman Sharma +2
The problem of Reinforcement Learning (RL) in an unknown nonlinear dynamical system is equivalent to the search for an optimal feedback law utilizing the simulations/ rollouts of t…
Decoupled Data Based Approach for Learning to Control Nonlinear Dynamical Systems
Ran Wang, Karthikeya Parunandi, Dan Yu +2
This paper addresses the problem of learning the optimal control policy for a nonlinear stochastic dynamical system with continuous state space, continuous action space and unknown…
T-PFC: A Trajectory-Optimized Perturbation Feedback Control Approach
Karthikeya S Parunandi, Suman Chakravorty
Traditional stochastic optimal control methods that attempt to obtain an optimal feedback policy for nonlinear systems are computationally intractable. In this paper, we derive a d…