4 citations · 19 across the 10 of their papers we have counts for
10 papers
Learning to Control under Uncertainty with Data-Based Iterative Linear Quadratic Regulator
Ran Wang, Raman Goyal, Suman Chakravorty
This paper studies the learning-to-control problem under process and sensing uncertainties for dynamical systems. In our previous work, we developed a data-based generalization of…
Multiobjective Hydropower Reservoir Operation Optimization with Transformer-Based Deep Reinforcement Learning
Rixin Wu, Ran Wang, Jie Hao +2
Due to shortage of water resources and increasing water demands, the joint operation of multireservoir systems for balancing power generation, ecological protection, and the reside…
An Information-State Based Approach to Linear Time Varying System Identification and Control
Mohamed Naveed Gul Mohamed, Raman Goyal, Suman Chakravorty +1
This paper considers the problem of system identification for linear time varying systems. We propose a new system realization approach that uses an "information-state" as the stat…
An Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems
Raman Goyal, Ran Wang, Mohamed Naveed Gul Mohamed +2
This paper develops a data-based approach to the closed-loop output feedback control of nonlinear dynamical systems with a partial nonlinear observation model. We propose an inform…
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…
Distributed Energy Trading and Scheduling among Microgrids via Multiagent Reinforcement Learning
Guanyu Gao, Yonggang Wen, Xiaohu Wu +1
The development of renewable energy generation empowers microgrids to generate electricity to supply itself and to trade the surplus on energy markets. To minimize the overall cost…
On the Feedback Law in Stochastic Optimal Nonlinear Control
Mohamed Naveed Gul Mohamed, Suman Chakravorty, Raman Goyal +1
We consider the problem of nonlinear stochastic optimal control. This problem is thought to be fundamentally intractable owing to Bellman's "curse of dimensionality". We present a…
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…
Realtime Scheduling and Power Allocation Using Deep Neural Networks
Shenghe Xu, Pei Liu, Ran Wang +1
With the increasing number of base stations (BSs) and network densification in 5G, interference management using link scheduling and power control are vital for better utilization…