1 citations · 1 across the 8 of their papers we have counts for
8 papers
Transfer Reinforcement Learning in Heterogeneous Action Spaces using Subgoal Mapping
Kavinayan P. Sivakumar, Yan Zhang, Zachary Bell +2
In this paper, we consider a transfer reinforcement learning problem involving agents with different action spaces. Specifically, for any new unseen task, the goal is to use a succ…
Inverse Reinforcement Learning from Non-Stationary Learning Agents
Kavinayan P. Sivakumar, Yi Shen, Zachary Bell +3
In this paper, we study an inverse reinforcement learning problem that involves learning the reward function of a learning agent using trajectory data collected while this agent is…
A Zeroth-Order Momentum Method for Risk-Averse Online Convex Games
Zifan Wang, Yi Shen, Zachary I. Bell +3
We consider risk-averse learning in repeated unknown games where the goal of the agents is to minimize their individual risk of incurring significantly high cost. Specifically, the…
Safe Controller for Output Feedback Linear Systems using Model-Based Reinforcement Learning
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The objective of this research is to enable safety-critical systems to simultaneously learn and execute optimal control policies in a safe manner to achieve complex autonomy. Learn…
Safety aware model-based reinforcement learning for optimal control of a class of output-feedback nonlinear systems
S M Nahid Mahmud, Moad Abudia, Scott A Nivison +2
The ability to learn and execute optimal control policies safely is critical to realization of complex autonomy, especially where task restarts are not available and/or the systems…
Asynchronous Zeroth-Order Distributed Optimization with Residual Feedback
Yi Shen, Yan Zhang, Scott Nivison +2
We consider a zeroth-order distributed optimization problem, where the global objective function is a black-box function and, as such, its gradient information is inaccessible to t…
Safe Model-Based Reinforcement Learning for Systems with Parametric Uncertainties
S M Nahid Mahmud, Scott A Nivison, Zachary I. Bell +1
Reinforcement learning has been established over the past decade as an effective tool to find optimal control policies for dynamical systems, with recent focus on approaches that g…
Improved Attention Models for Memory Augmented Neural Network Adaptive Controllers
Deepan Muthirayan, Scott Nivison, Pramod P. Khargonekar
We introduced a {\it working memory} augmented adaptive controller in our recent work. The controller uses attention to read from and write to the working memory. Attention allows…