2 citations · 7 across the 12 of their papers we have counts for
3 papers · 1 filter
Continual Learning Using a Kernel-Based Method Over Foundation Models
Saleh Momeni, Sahisnu Mazumder, Bing Liu
Continual learning (CL) learns a sequence of tasks incrementally. This paper studies the challenging CL setting of class-incremental learning (CIL). CIL has two key challenges: cat…
Safety through Permissibility: Shield Construction for Fast and Safe Reinforcement Learning
Alexander Politowicz, Sahisnu Mazumder, Bing Liu
Designing Reinforcement Learning (RL) solutions for real-life problems remains a significant challenge. A major area of concern is safety. "Shielding" is a popular technique to enf…
Knowledge-Guided Exploration in Deep Reinforcement Learning
Sahisnu Mazumder, Bing Liu, Shuai Wang +4
This paper proposes a new method to drastically speed up deep reinforcement learning (deep RL) training for problems that have the property of state-action permissibility (SAP). Tw…