16 citations · 89 across the 50 of their papers we have counts for
3 papers · 1 filter
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…
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…