55 citations · 57 across the 2 of their papers we have counts for
3 papers
cs.NE2022★ 55 cited
Avoiding Catastrophe: Active Dendrites Enable Multi-Task Learning in Dynamic Environments
Abhiram Iyer, Karan Grewal, Akash Velu +3
A key challenge for AI is to build embodied systems that operate in dynamically changing environments. Such systems must adapt to changing task contexts and learn continuously. Alt…
math.OC2021
Safe Control in the Presence of Stochastic Uncertainties
Albert Chern, Xiang Wang, Abhiram Iyer +1
Accurate quantification of safety is essential for the design of autonomous systems. In this paper, we present a methodology to characterize the exact probabilities associated with…
cs.LG2020★ 2 cited
Collision Avoidance Robotics Via Meta-Learning (CARML)
Abhiram Iyer, Aravind Mahadevan
This paper presents an approach to exploring a multi-objective reinforcement learning problem with Model-Agnostic Meta-Learning. The environment we used consists of a 2D vehicle eq…