27 citations · 27 across the 2 of their papers we have counts for
6 papers
Stochastic Deep Model Reference Adaptive Control
Girish Joshi, Girish Chowdhary
In this paper, we present a Stochastic Deep Neural Network-based Model Reference Adaptive Control. Building on our work "Deep Model Reference Adaptive Control", we extend the contr…
Adaptive Policy Transfer in Reinforcement Learning
Girish Joshi, Girish Chowdhary
Efficient and robust policy transfer remains a key challenge for reinforcement learning to become viable for real-wold robotics. Policy transfer through warm initialization, imitat…
Asynchronous Deep Model Reference Adaptive Control
Girish Joshi, Jasvir Virdi, Girish Chowdhary
In this paper, we present Asynchronous implementation of Deep Neural Network-based Model Reference Adaptive Control (DMRAC). We evaluate this new neuro-adaptive control architectur…
Robust and Precision Satellite Formation Flying Guidance Using Adaptive Optimal Control Techniques
Girish Joshi
The main focus of the work presented in this thesis is to develop an optimal control based formation flying control strategy for high precision formation flying of small satellites…
Deep Model Reference Adaptive Control
Girish Joshi, Girish Chowdhary
We present a new neuroadaptive architecture: Deep Neural Network based Model Reference Adaptive Control (DMRAC). Our architecture utilizes the power of deep neural network represen…
Cross-Domain Transfer in Reinforcement Learning using Target Apprentice
Girish Joshi, Girish Chowdhary
In this paper, we present a new approach to Transfer Learning (TL) in Reinforcement Learning (RL) for cross-domain tasks. Many of the available techniques approach the transfer arc…