26 citations · 94 across the 25 of their papers we have counts for
3 papers · 1 filter
Adaptive Meta-Learning for Identification of Rover-Terrain Dynamics
S. Banerjee, J. Harrison, P. M. Furlong +1
Rovers require knowledge of terrain to plan trajectories that maximize safety and efficiency. Terrain type classification relies on input from human operators or machine learning-b…
Safe Active Dynamics Learning and Control: A Sequential Exploration-Exploitation Framework
Thomas Lew, Apoorva Sharma, James Harrison +2
Safe deployment of autonomous robots in diverse scenarios requires agents that are capable of efficiently adapting to new environments while satisfying constraints. In this work, w…
Deep Reinforcement Learning amidst Lifelong Non-Stationarity
Annie Xie, James Harrison, Chelsea Finn
As humans, our goals and our environment are persistently changing throughout our lifetime based on our experiences, actions, and internal and external drives. In contrast, typical…