35 citations · 112 across the 25 of their papers we have counts for
3 papers · 1 filter
Scalable regret for learning to control network-coupled subsystems with unknown dynamics
Sagar Sudhakara, Aditya Mahajan, Ashutosh Nayyar +1
We consider the problem of controlling an unknown linear quadratic Gaussian (LQG) system consisting of multiple subsystems connected over a network. Our goal is to minimize and qua…
A relaxed technical assumption for posterior sampling-based reinforcement learning for control of unknown linear systems
Mukul Gagrani, Sagar Sudhakara, Aditya Mahajan +2
We revisit the Thompson sampling algorithm to control an unknown linear quadratic (LQ) system recently proposed by Ouyang et al (arXiv:1709.04047). The regret bound of the algorith…
Training a Resilient Q-Network against Observational Interference
Chao-Han Huck Yang, I-Te Danny Hung, Yi Ouyang +1
Deep reinforcement learning (DRL) has demonstrated impressive performance in various gaming simulators and real-world applications. In practice, however, a DRL agent may receive fa…